--- title: Hire AI Developers description: "Hire AI developers for LLM apps, RAG, AI agents and ML. Vetted on real build tasks from $1,499/month, with flexible part-time, full-time and dedicated AI teams." url: https://miracuves.com/service/hire-ai-developers date_modified: 2026-09-29 author: miracuves language: en_US --- AI Engineers · Available This Week # Hire AI DevelopersVetted by Miracuves · Inside Your Team or as a Dedicated AI Pod LLM appsRAG pipelinesAI agentsML and computer visionMLOps Hire AI engineers who build LLM features, RAG pipelines, AI agents, machine learning models and computer vision, working inside your team or as a dedicated AI pod. Before you see a profile, each engineer has built a small AI feature against an evaluation set, walked a senior reviewer through that code, designed an AI system out loud and finished a paid trial on an anonymized brief. Then they work in your repositories and sprints, with a demo and fresh evaluation results every Friday. [WhatsApp - Talk to Our Team](https://wa.me/919830009649)[Book a Consultation Call](https://miracuves.com/schedule-consultation/) Reviewed on ClutchFrom $1,499/mo[View reviews →](https://miracuves.com/reviews-awards/) - Interview Before Start - NDA Day One - 40hr/Week Dedicated - 2-Week Replacement **$1,499/mo**Part-time, 20 hrs/week**$3,299/mo**Full-time, 40 hrs/week**<72 Hrs**Agreement to start**2 Weeks**Replacement at no cost AI engineers available this week LLM and RAGAI agentsML and visionMLOps Other roles[Hire Technical Architects](https://miracuves.com/service/hire-technical-architects/)[Hire API Integration Developers](https://miracuves.com/service/hire-api-integration-developers/)[Hire Remote Developers](https://miracuves.com/service/hire-remote-developers/) - **2 Weeks**Notice, month-to-month - **4+ Hrs**Overlap with your product team - **2-Week**Free replacement window - **<72 Hrs**Agreement to first commit access - **40 Hrs/Week**Full-time, your AI roadmap only - ### Interview Before Start You run the technical interview - ### 40hr/Week Dedicated One client, one AI roadmap - ### NDA Day One Signed before any data is shared - ### Direct Access Talk to the engineer, not a relay - ### Weekly Demos Evaluation results every Friday - ### Flexible Exit 2 weeks notice, no lock-in More than 6,000+ Companies Trust us Worldwide [![Miracuves Ranked among top 1000 companies globally by Clutch](https://miracuves.com/wp-content/uploads/2024/03/Miracuves-Clutch-top-1000-company.webp "Hire AI Developers 1")](https://clutch.co/profile/miracuves-solutions#reviews) [![Miracuves is a top-minus service provider in the United States by Clutch](https://miracuves.com/wp-content/uploads/2024/03/Miracuves-clutch-top-managed-service-provider-US.webp "Hire AI Developers 2")](https://clutch.co/profile/miracuves-solutions#reviews) ![MediaCube is the best managed IT service provider in New York City by Expertise.com](https://miracuves.com/wp-content/uploads/2024/03/Miracuves-Expertise-Provider.webp "Hire AI Developers 3") ![MiraQs as an official member of Forbes Business Council ](https://miracuves.com/wp-content/uploads/2024/03/Mircuves-Official-Memeber-Forbes-Council.webp "Hire AI Developers 4") [![Miracuves is a verified agency with design rush. ](https://miracuves.com/wp-content/uploads/2024/03/DesignRush-Top-Design-Agencies-in-India.webp "Hire AI Developers 5")](https://www.designrush.com/agency/profile/miracuves#reviews) [![MiraQs is ranked as a trustworthy service provider with Trustpilot. ](https://miracuves.com/wp-content/uploads/2025/04/Miracuves-TrustPilot-Top-Software-Development-Company.webp "Hire AI Developers 6")](https://www.trustpilot.com/review/miracuves.com) [![Miracuves is one of the top managed service providers, companies by themanifest. ](https://miracuves.com/wp-content/uploads/2025/04/Miracuves-The-Manifest-Top-Managed-Software-Development-Company.webp "Hire AI Developers 7")](https://themanifest.com/company/miracuves-solutions) [![Miracuves ranked as a top software development company by Design Rush. ](https://miracuves.com/wp-content/uploads/2025/04/Miracuves-Designrush-Top-Software-Development-Company.webp "Hire AI Developers 8")](https://www.designrush.com/agency/profile/miracuves#reviews) [![Miracuves is recognized as top software developed company by goodfirms. ](https://miracuves.com/wp-content/uploads/2025/04/Miracuves-GoodFirms-Top-Software-Development-Company.webp "Hire AI Developers 9")](https://www.goodfirms.co/company/miracuves-solution) In short Miracuves places AI developers inside your team, or as a dedicated AI pod, to build LLM features, RAG pipelines, AI agents, machine learning models and computer vision, with the evaluation and monitoring to run them. Part-time is $1,499 a month and full-time $3,299 a month, month-to-month with two weeks' notice. You interview every match, most start within 72 hours, and replacement is free in the first two weeks. What This Role Does ## What a dedicated AI developer does inside your product team An AI developer from Miracuves is not a researcher who hands you a notebook and leaves. They ship AI features into your product: the model call, the retrieval behind it, the checks that catch a wrong answer and the logging that shows what each request cost. They work in your codebase and your release process, so the feature is built and deployed the way your team ships everything else. Hire LLM developers and ML engineers here when the open work is model-shaped: an assistant that reads your documents, an agent that acts in your tools, a prediction from your own records, a camera feed that needs checking. Each profile names the kinds of AI features that engineer has shipped, so you can probe it in your own interview. If you want a fixed-scope AI product delivered end to end, a project team from our [AI development](https://miracuves.com/service/artificial-intelligence-development/) practice fits better, and if you have not picked a use case yet, start with [AI consulting](https://miracuves.com/service/ai-consulting/). Other ways to hire are listed further down the page. - Builds LLM features with structured output, tool calling and a fallback when the model is unsure - Designs retrieval over your documents, with citations your users can check - Writes evaluation sets from real examples and reruns them on every change - Reports cost per request and response time next to answer quality - Keeps prompts, data flows and model choices documented in your repository Miracuves AI Practice · September 2026 · Updated September 2026[Read Reviews →](https://miracuves.com/reviews-awards/) **9,000+**Projects delivered since 2010**3,900+**Apps published by Miracuves**90+**Ready-made solutions to start from**6 days**Ready-made clone delivery**2-8w**Miracuves custom build timelines**100%**Source code ownership **LLM apps & RAG**Assistants, search, extraction**AI agents**Tool calling, human approval**ML & computer vision**Your records, images, video From our AI practice - An AI feature is only as good as its evaluation set > A demo shows the questions a model handles well. An evaluation set shows how often it fails, and it is the only honest way to know whether the next change made the feature better. Sample Profiles ## What an AI engineer shortlist looks like Each profile names the AI features the engineer has shipped, the models and tools they used and the kind of problem they are best placed to own, so you can compare them before your technical interview. *LE* ### LLM Application Engineer Senior · RAG, prompts and structured outputPythonLlamaIndexpgvectorGPT and Claude APIsTime zoneIST, 4+ hours overlap with UK and EUAvailabilityWithin 72 hrsBest forAssistants and search that answer from your own documents*AE* ### AI Agent Engineer Senior · tool calling and workflow automationTypeScriptFunction callingMCP serversQueue workersTime zoneIST, overlap with UK, EU and US East Coast morningsAvailabilityPart or full timeBest forAgents that act in your systems, with a human approval step*MV* ### ML and Computer Vision Engineer Senior · models trained on your dataPyTorchscikit-learnOpenCVObject detectionTime zoneIST, 4+ hours overlap with EU or USAvailabilityFull timeBest forClassification, forecasting and image or video inspection*MO* ### MLOps Engineer Senior · deployment, monitoring and costDockerKubernetesMLflowDrift monitoringTime zoneIST, 4+ hours overlap with EU or USAvailabilityPart or full timeBest forMoving models from a notebook into production and keeping them healthy These are sample profiles showing the format of a shortlist, not real people. Names, CVs, references and code samples are shared under NDA once you send the brief. Honest Comparison ## Miracuves vs freelance marketplaces and in-house hiring - an honest comparison A freelance marketplace finds someone quickly, and an in-house AI hire can take months to find. Miracuves places an AI developer who works inside your sprints at a published monthly rate, with a replacement if the match fails. The table compares where the prompts, data and evaluation sets end up, who checks quality after launch and what leaving costs, not only the monthly figure. MetricFive things that decide cost, speed and reachMiracuves ### AI developer via Miracuves Named engineer, published rate ### Freelance AI marketplace Profiles, ratings, hourly bids ### Permanent in-house hire Your recruiting, your payroll *01*Vetting**Build task, code review, AI design**A small AI feature built against an evaluation set, then reviewed and discussed live**Ratings and past jobs**Reviews from earlier clients; any skills test varies by freelancer**Your interview loop**Only as deep as your own team's AI experience*02*Where the work lives**Your repos and model accounts**Prompts, evaluation sets and API keys in your systems from week one**Often the freelancer's accounts**Notebooks and keys can stay with them unless the contract says otherwise**Your systems**Written down only if the hire documents their work*03*Pricing**Published monthly rates**Part-time $1,499/mo, full-time $3,299/mo, written before you start**Hourly or per milestone**Rates vary widely by profile and region**Salary plus hiring cost**Recruiting fees, benefits and a long search for scarce AI skills*04*Quality after launch**Measured every release**Evaluation results and cost per request in each Friday demo**Usually ends at delivery**Monitoring and fixes become a new contract**Yes, while they stay**Depends on whether evaluation is part of the team's habits*05*Exit and replacement**Two weeks' notice**Month-to-month; a new match at no cost in the first 2 weeks**End the contract**Finding and onboarding someone new is on you**Notice periods and a new search**Hard to reverse quickly if the hire does not work out Hire through Miracuves if… You know which AI feature you want and need an engineer inside your team who ships it with evaluation and cost tracking, at a published rate and replaceable if the match is wrong. Want a whole team that owns delivery instead? Compare [dedicated teams](https://miracuves.com/service/dedicated-teams/) or [staff augmentation](https://miracuves.com/service/staff-augmentation/). Choose something else if… You need a one-off prototype for a pitch (a freelancer can be enough), or you have not chosen a use case yet, in which case [AI consulting](https://miracuves.com/service/ai-consulting/) comes first. For a fixed-scope AI build without staffing, see [LLM development](https://miracuves.com/service/llm-development/) or our [90+ solutions](https://miracuves.com/solutions/). AI developer hiring guide ## Before you hire AI developers: what to settle first Which AI role you need, whether retrieval is enough, what to prepare, what the feature costs to run and how to judge the first month. Read this before you compare AI developers for hire from anyone. ### What does a dedicated AI developer build, and what stays with your team? A Miracuves AI developer builds the parts of your product that depend on a model: the prompts and structured output of an LLM feature, the retrieval pipeline behind a RAG assistant, the tools an AI agent may call, a classifier or forecast trained on your records, or a computer vision step that reads images and video. They also build what keeps those parts honest in production: evaluation sets, request logging, cost tracking and a fallback when the model is unsure. What stays with you is product ownership and people management. Your product lead decides which use case matters and what counts as good enough; your managers run one-to-ones and reviews. The developer works inside your repositories, tickets and release process, not in a side project. ### LLM application engineer, ML engineer or MLOps engineer: which do you need? Start from the problem, not the job title. If the feature reads, writes or reasons over text, such as a support assistant, document search or an agent that files tickets, you need an LLM application engineer. If you are predicting a number or a label from your own records, such as churn, fraud, demand or a product category, hire machine learning engineers. If models already exist but deployments are manual, nobody notices when quality drops and the GPU bill keeps surprising you, you need an MLOps engineer; [MLOps services](https://miracuves.com/service/mlops-services/) cover that work as a project. Many products need two of these at different times. A common path is an LLM application engineer first, with MLOps capacity added once the feature carries real traffic. Moving between roles changes the engagement letter, not the contract. ### Is retrieval and prompting enough, or do you need to fine-tune a model? For most business use cases, retrieval comes first. A RAG pipeline hands a general model the right passages of your documents at question time, so answers stay current when the documents change and every answer can point to its source. Fine-tuning changes the model itself; it helps when you need a fixed output style, a narrow classification task at high volume, or a smaller model that is cheaper to run. A good AI developer proves the need before training anything: build the retrieval version, score it against an evaluation set, and fine-tune only if the numbers show a gap retrieval cannot close. For a retrieval build scoped as a project rather than a hire, see [RAG development](https://miracuves.com/service/rag-development/). ### What should you have ready before an AI developer starts? The first weeks go faster when four things are settled before day one. None of them has to be perfect, but each one missing is time the developer spends waiting instead of building. - One use case with a success measure, for example the share of support questions answered correctly without a person - Access to the data the feature needs, and a named person who can approve what may be sent to an external model - A few dozen real examples with the answer you would accept, which become the first evaluation set - Model API accounts or a cloud budget in your company's name, so usage, keys and bills stay yours ### What does an AI feature cost to run, beyond the developer's rate? The monthly rate covers the engineer. Running the feature has its own costs, billed by your providers to your accounts: model API usage, which grows with traffic and with the length of each prompt; embeddings and vector database hosting for retrieval; GPU instances if you self-host an open-weight model; and logging and monitoring. Treat cost as a design input, not an invoice surprise. Expect your developer to report cost per request next to answer quality, cache repeated calls, send simple requests to a smaller model and cap how much context each request carries. This page quotes no model prices because providers change them often; your developer estimates them from your own traffic in the first weeks. ### How do you judge an AI developer's first month? By numbers you can rerun, not by a good demo. A demo shows the questions a feature handles well; an evaluation set shows how often it fails. By the end of the first month you should be able to open all of these in your own systems. If a month passes without them, raise it with your Miracuves contact. Replacement is free in the first two weeks, and after that the notice period is two weeks. - An evaluation set built from your real examples, with a baseline score - A working version behind a feature flag or in a staging environment - A log of failure cases grouped by cause: retrieval missed, model misread, data missing - Cost per request and response time for the current design - A short written plan for the next month, ranked by expected gain Vetting Pipeline ## How an AI engineer earns a place on your shortlist We select on what an engineer can build and explain, not on job titles. Four of the six stages are hands-on: a build task, a review of that code, an AI system design discussion and a paid trial. 1. **Stage 01** ### Role screening A call on AI features they have shipped, what went wrong once real users arrived and how they found out. 2. **Stage 02** ### Practical build task A small AI feature, such as question answering over a document set, delivered with an evaluation set and a note on where it fails. 3. **Stage 03** ### Code review A senior Miracuves engineer reviews the task code with them: structure, error handling, secrets, tests and how prompts are versioned. 4. **Stage 04** ### AI system design Designing an AI feature out loud: model choice, retrieval, cost per request, fallbacks, abuse cases and how quality is monitored. 5. **Stage 05** ### Communication Explaining to a product owner, in plain words, why the model gets some answers wrong and what it would take to fix them. 6. **Stage 06** ### Paid trial sprint A short paid task on a real anonymized brief, ending in working code and written results, before the profile is shown to you. Team Structures ## Four team shapes for hiring AI engineers Start with one AI engineer, or grow into a dedicated AI development team once a feature proves itself. The engagement letter records the shape you choose: who joins, the hours they overlap with your product team, who they escalate to and the replacement terms. AISolo ### One Embedded AI Developer One AI engineer inside your existing team, owning one AI feature at a time. Works best when you already have backend and product capacity. - Best for: Teams adding their first AI feature LLMDataDuo ### LLM Engineer + Data Engineer An LLM application engineer paired with a data engineer who cleans, permissions and indexes the documents and records the feature reads. - Best for: Assistants and search over messy internal data LeadMLOpsPod ### Dedicated AI Pod An AI lead, an ML engineer and an MLOps engineer working as one unit on a roadmap of AI features, with a shared evaluation and release process. - Best for: Products where AI is the core of the roadmap AI++Flexible ### Proof of Concept Sprint Add AI capacity for a time-boxed proof of concept, then keep, grow or end it based on what the evaluation results show. - Best for: Testing a use case before committing a budget Vetting Standards ## How Miracuves vets every AI developer An AI engineer's profile reaches you only after each area below has been tested in practice, from retrieval quality to explaining a model's mistakes to the people who will rely on it. - LLM applications - prompting, structured output, tool calling, streamingLLM - Retrieval - chunking, embeddings, hybrid search, reranking, citationsRAG - Evaluation - test sets, regression checks, model-graded scoring with human spot checksEvals - Machine learning - features, validation splits, leakage, choosing the right metricML - Production - latency, cost per request, caching, monitoring, rollbackOps - Data and safety - PII handling, prompt injection, agent permissionsSafety - Communication - explaining model behavior and limits to product ownersComms What's Included ## Six terms in every AI hire - none sold as extras Six terms come with every AI engineer you hire, part-time or full-time, and none is billed on top. **01** #### Your Repos and Model Accounts Code, prompts and evaluation sets live in your repositories, and API keys stay in your own model and cloud accounts from day one. **02** #### Friday Demo with Numbers Each week the working feature plus its evaluation score, the new failure cases and cost per request, reviewed with your product lead. **03** #### NDA + IP Assignment Day One A bilateral NDA is signed before you share data or documents. Code, prompts, evaluation sets and any fine-tuned weights are assigned to you. **04** #### Async-First Communication A short daily note in Slack on what shipped, what the evaluation showed and what is blocked, with live pairing inside your agreed overlap window. **05** #### Data Rules Agreed Up Front Which data may reach an external model, what gets masked and where logs are kept is written down before the first request is sent. **06** #### 2-Week Replacement Guarantee If the engineer is not right for your stack or your team in the first 2 weeks, Miracuves replaces them at no additional cost, and the work already done stays in your repositories. What They Own ## What an AI developer actually owns An AI feature is ordinary software with an unpredictable component in the middle. The developer's job is to make that component measurable, affordable and safe to change. **Prompts** ### Instructions the model follows System prompts, output schemas and examples kept in version control and changed through review, like any other code. In scope**Retrieval** ### What the model gets to read Chunking, embeddings, filters and reranking, so the model answers from the right passage of your documents and cites it. In scope**Evaluation** ### Proof that a change helped Test sets built from real examples and run on every change, so a better demo is never mistaken for a better feature. In scope**Cost** ### Spend per request, tracked Model choice, caching and context length tuned so the feature stays affordable as traffic grows. In scope**Guardrails** ### What happens when the model is wrong Confidence checks, human handoff, prompt-injection defenses and limits on what an agent is allowed to do on its own. In scope**Handover** ### Knowledge your team keeps Runbooks, evaluation sets and design notes in your repository, so the feature survives the engineer moving on. In scope Models & Tools ## What your AI developer already works with The models, frameworks and tools our AI engineers integrate and build with. Each profile says which of them that engineer has shipped to production, so you are matched on work done, not on a list of names. *Py***Python**Model and API code*Ts***TypeScript**Agent and app code*Oa***OpenAI API**GPT models*An***Anthropic API**Claude models*Ge***Gemini API**Multimodal models*Ll***Llama**Open-weight, self-hosted*Lc***LangChain**LLM pipelines*Li***LlamaIndex**Document retrieval*Pv***pgvector**Vector search in Postgres*Hf***Hugging Face**Models and datasets*Pt***PyTorch**Training and fine-tuning*Sk***scikit-learn**Classic ML models*Cv***OpenCV**Image and video*Wh***Whisper**Speech to text*Mf***MLflow**Experiments and registry*Dk***Docker**Packaging model services Onboarding ## From signed NDA to first evaluated release Most clients have a matched AI developer with access to their repositories within 72 hours of agreement, and an evaluation baseline in week one. The engineer's name, overlap hours, rate and replacement terms are in your engagement letter before anyone touches your data. 1. **Day 0** ### Brief & NDA You share the use case, the data involved, your stack and how you will judge success. NDA before any data or documents. 2. **Day 1-2** ### Shortlist & interview AI engineer profiles with the features each has shipped. You run your own technical interview, with direct access. 3. **Day 2-3** ### Access & data setup Repository, model accounts and a data sample set up, with the rules for what may reach an external model agreed. 4. **Week 1** ### Evaluation baseline A first evaluation set from your real examples and a baseline score for the simplest version that works. 5. **Ongoing** ### Scale or exit Add MLOps or data capacity, move to a dedicated AI pod, or end with two weeks' notice. ### What happens after you say yes **1. NDA and use-case brief:** the feature, the data it needs and the measure of success written down before any document is shared. **2. AI engineer shortlist:** profiles with the AI features each has shipped, then a technical interview you run yourself. **3. Access and data rules:** repositories, model accounts and what may be sent to an external model, agreed before the first request. [Start the brief](https://wa.me/919830009649)The first 72 hours Transparent Pricing ## What hiring a dedicated AI developer costs Monthly rates in public, so you see the number before any call. ### Part-Time $1,499 /mo 20 hrs/week · proof of concept or one feature - 20 hours per week dedicated - Works in your repos and model accounts - Weekly demo with evaluation results - NDA signed before start - 2-week replacement guarantee - Cancel with 2 weeks notice [Start Part-Time](https://wa.me/919830009649)Most Popular ### Full-Time $3,299 /mo 40 hrs/week · building and running AI features - 40 hours, fully dedicated - 4+ hour timezone overlap - Evaluation and cost reporting - Embedded in your sprints - 2-week replacement guarantee - Cancel with 2 weeks notice [Start Full-Time](https://wa.me/919830009649) ### Dedicated AI Pod Custom 3-5 people · scaling - AI lead with ML and MLOps engineers - Owns AI features end to end - Shared evaluation and release process - From proof of concept to production - Direct access to the pod - Cancel with 2 weeks notice [Get Pod Quote](https://miracuves.com/contact/) **Why we publish rates**AI work is hard to quote as a fixed scope before any evaluation numbers exist, so we publish a monthly rate instead. If your roadmap needs another shape, such as part-time while you choose a use case and full-time once it is proven, we tell you and price that shape. ### What affects your monthly rate Your rate depends on the structure you choose (part-time, full-time or a pod), not on which model or framework the feature uses. Model API, GPU and hosting costs are billed by your providers to your own accounts. The rate stays fixed unless the scope changes materially, and any change is written down before it applies. ### Typical engagement structures Part-time ($1,499/mo): 20 hrs/week for a proof of concept, evaluation work or improving one AI feature. Full-time ($3,299/mo): 40 hrs/week building and running AI features in your product. Dedicated AI Pod: custom quote for 3-5 people, an AI lead with ML and MLOps engineers. All three are month-to-month with two weeks' notice, and an annual term can lock the rate. Example engagement ## What hiring a dedicated AI developer looks like in practice An illustrative example of a typical project of this kind, with client details anonymized. Figures show what this kind of build targets, not a named client's results. A B2B software company wanted an assistant that answers customer questions from its help center and past support tickets. Its engineers were committed to the core product, and nobody on the team had shipped a retrieval pipeline or an evaluation set. 1. **01** ### Challenge Help content spread across several tools, no measure of answer quality, and a real risk in giving customers a wrong answer about billing. 2. **02** ### What Miracuves Delivered A full-time LLM application engineer, an evaluation set built from real tickets in week one, then a retrieval assistant behind a feature flag with human handoff on low-confidence answers. 3. **03** ### What This Kind of Engagement Targets A measured answer rate on the evaluation set, every answer citing its source, billing questions always routed to a person, and cost per request reported each week. **<72 Hrs**Target time to start**Week 1**Evaluation set agreed**2 Weeks**Free replacement window [View All Reviews](https://miracuves.com/reviews-awards/) Engagement Brief - Type**Full-Time Dedicated** - Role**LLM application engineer** - Time to start**Under 72 hours (target)** - First milestone**Evaluation baseline, week 1** - Terms**Month-to-month** Client Reviews ## What clients say about building with Miracuves Named Miracuves clients, in their own words. Each one brought its own logic to a product Miracuves built with them: a security scoring engine, a categorization model, recommendation logic. They describe product builds, not an AI hiring engagement; read every testimonial on our [client testimonials page](https://miracuves.com/client-testimonials/). Client testimonial > "Multi-tenant structure, alert pipelines and agent collectors were the slow part and they already existed. We added our scoring engine, the playbook library and billing." *RK***Rohit Khanna**Founder & CEO, Server ProGuard Inc*Security dashboard SaaS with its own scoring engine*Client testimonial > "The bank-link and aggregation layer is six months of pain if you build it. Miracuves already had it, so we added our categorisation model and the QIF export on top. Live in under a month and we reckon it saved us a quarter of engineering and around $250k." *OY***Omar Yassaa**Product Lead, MyQif Technologies*Fintech aggregator with its own categorization model*Client testimonial > "Player, CMS, subscriptions and the apps were all there. We brought the content pipeline, our recommendation logic and the parental-control layer. Live in weeks, not the six months a custom build would have cost, and we hit our Q1 window." *BH***Ben Loyd Holmes**Co-founder & CTO, URView Media*OTT platform with its own recommendation logic* **6,000+**Clients served**3,900+**Apps published**35+**Industries served[Read All Reviews](https://miracuves.com/reviews-awards/) Why Miracuves ## Six places to check us before you ever call us Each one is either run by someone else or open to anyone. Check them in any order; the whole list takes about a minute. [Why clients choose Miracuves](https://miracuves.com/why-us/) [**01** ### Company registration Miracuves Solutions Pvt. Ltd., CIN U62099MH2023PTC406639. Search the CIN on the Ministry of Corporate Affairs portal. mca.gov.in](https://www.mca.gov.in/) [**02** ### Every number, sourced Projects, clients, prices and timelines, each one defined and sourced on our public facts ledger. miracuves.com/facts](https://miracuves.com/facts/) [**03** ### Reviews on Clutch Client reviews published by Clutch, an independent B2B review platform, not by us. clutch.co](https://www.clutch.co/profile/miracuves-solutions) [**04** ### Reviews on GoodFirms A second, separate review platform. Read what clients wrote there too. goodfirms.co](https://www.goodfirms.co/company/miracuves-solution) [**05** ### The product itself Web app, admin panel and APK with printed credentials. Try the real thing before a single call. miracuves.com/solutions](https://miracuves.com/solutions/) [**06** ### Clients, by name Named clients describing their launches, in their own words. miracuves.com/client-testimonials](https://miracuves.com/client-testimonials/) ### Three promises we would stake the company on Every promise on this site rests on these three. Each one is something you can check, not something you have to take on trust. - #### 01People you can name Our leadership is public, with real LinkedIn profiles, not a stock-photo team page. A named team works your build and sends you progress on WhatsApp every working day. [Meet the leadership](https://miracuves.com/leadership/) - #### 02Proof over promises Every number we publish, pricing, timelines, project counts, is defined and sourced on a public facts ledger. If we can't back a claim, we don't make it. [Read the facts ledger](https://miracuves.com/facts/) - #### 03A process with a deadline Ready-made platforms go from kickoff to live deployment in 6 working days, guaranteed: miss it for reasons on our side and we work free until launch. Custom builds get a fixed quote after a free feasibility study. [Get a feasibility study](https://miracuves.com/schedule-consultation/) Industries ## Industries we build AI features for The vetting is the same in every sector; what changes is the data your AI engineer touches and the rules around it. These industry pages go deeper on each. [### Healthcare & Life Sciences Intake assistants, clinical note drafts and triage rules built with patient-data controls. View industry](https://miracuves.com/service/ai-in-healthcare/)[### Telemedicine Visit summaries, symptom intake and message routing for clinician review. View industry](https://miracuves.com/industries/telemedicine/)[### Fintech Fraud scoring, document extraction and support agents with an audit trail. View industry](https://miracuves.com/service/ai-in-fintech/)[### Retail & E-commerce Semantic search, recommendations and support bots tied to your catalog. View industry](https://miracuves.com/service/ai-in-retail/)[### Media & Entertainment Tagging, moderation and recommendation models for large content libraries. View industry](https://miracuves.com/industries/media-entertainment/)[### Creator Economy Caption, script and analytics assistants inside creator tools. View industry](https://miracuves.com/industries/creator-economy/)[### Transportation & Mobility ETA models, dispatch optimization and support agents that hold up at peak volume. View industry](https://miracuves.com/industries/transportation-mobility/)[### Food & Beverage Ordering assistants, menu tagging and demand forecasts for kitchens. View industry](https://miracuves.com/industries/food-beverage/) Full Catalog ## Hire engineers, or start from a ready-made AI product Some AI products do not need an empty repository. Miracuves has ready-made AI platforms among its 90+ solutions, delivered in 6 working days, and a hired AI developer can then add your own retrieval, data and workflows on top under the same NDA and IP terms. That added work is custom and scoped separately, usually within 2-8 weeks. The service pages at the end cover AI builds delivered as a project instead of a hire. [AI CHAT PLATFORM**ChatGPT Clone**White-label AI chat product with admin-managed knowledge base, subscription plans and full source code. An AI developer can add retrieval over your own content.](https://miracuves.com/chatgpt-clone/)[MULTIMODAL AI**Google Gemini Clone**White-label AI assistant with multimodal capabilities, a starting point when your product works with text and images together.](https://miracuves.com/google-gemini-clone/)[AI APP BUILDER**Bolt.new Clone**AI code generation with a browser IDE, live previews and deployment, for teams building a developer or no-code product.](https://miracuves.com/bolt-new-clone/)[PRIVATE AI ASSISTANT**Apple AI Clone**AI assistant built around privacy-first data handling and workflows, for products where user data has to stay tightly controlled.](https://miracuves.com/apple-ai-realm-clone/)[AI SERVICE**Generative AI Development**Text, image and content generation features delivered as a scoped project, when you want an outcome rather than an engineer's hours.](https://miracuves.com/service/generative-ai-development/)[AI SERVICE**Computer Vision Development**Image and video recognition delivered as a project, from inspection and detection to reading documents and forms.](https://miracuves.com/service/computer-vision-development/) Looking to Build Instead? ## AI services and other ways to hire Hiring one specialist is one way to work with Miracuves. These pages cover full builds, other roles and team models. [Team Model**Dedicated Development Teams**](https://miracuves.com/service/dedicated-teams/)[Team Model**Staff Augmentation**](https://miracuves.com/service/staff-augmentation/)[Hire Role**Hire Remote Developers**](https://miracuves.com/service/hire-remote-developers/)[AI**AI Development Company**](https://miracuves.com/service/artificial-intelligence-development/)[AI**LLM Development**](https://miracuves.com/service/llm-development/)[AI**AI Agent Development**](https://miracuves.com/service/ai-agent-development/)[AI**Machine Learning Development**](https://miracuves.com/service/ml-development/)[AI**RAG Development**](https://miracuves.com/service/rag-development/) Frequently Asked ## Questions about hiring AI developers Something not covered here? Ask on WhatsApp and you will usually have an answer within two hours. [Ask us directly](https://wa.me/919830009649) Can an AI developer join our existing engineering team and sprint process? Yes, that is the default. The developer takes tickets from your board, opens pull requests in your repositories, joins standups inside the agreed overlap window and ships through your release process. There is no separate AI track your team cannot see. If you have no engineering team yet, a dedicated AI pod or a project team is usually the better start. Do your AI developers work with GPT, Claude, Gemini and open-weight models? Yes. Engineers integrate hosted models such as GPT, Claude and Gemini through their APIs, and open-weight models such as Llama when you need to self-host for cost or data reasons. The model is chosen per feature from evaluation results, not brand preference, and most designs keep it swappable so a better or cheaper option can replace it later. Each profile states which models that engineer has shipped with. Can we hire a dedicated AI development team instead of one engineer? Yes. A Dedicated AI Pod of 3-5 people, typically an AI lead with ML and MLOps engineers, is quoted per team and works on your roadmap as one unit. It suits products where AI is central and several features run in parallel. For a broader team that also covers backend, mobile or QA, see [dedicated development teams](https://miracuves.com/service/dedicated-teams/). Who owns the prompts, evaluation sets, model weights and code? You do. Code, prompts, evaluation sets, data preparation scripts and any fine-tuned weights are assigned to you under the IP assignment signed on day one, and they live in your repositories and cloud accounts. API keys and model accounts stay in your name, so nothing stops working when the engagement ends. How much does it cost to hire AI developers through Miracuves? Part-time is $1,499 a month for 20 hours a week, working in your repositories and model accounts with a weekly demo of evaluation results. Full-time is $3,299 a month for 40 hours a week, embedded in your sprints with evaluation and cost reporting and at least 4 hours of time-zone overlap. A Dedicated AI Pod of 3-5 people, an AI lead with ML and MLOps engineers, is quoted per team. Every engagement is month-to-month with two weeks' notice, and model API and cloud costs are billed by your providers to your own accounts. Every quote is written before payment, with no surprise invoices after kickoff. How is our customer data handled when an AI developer works with it? Before the first request, you agree in writing which data may reach an external model, what must be masked or removed and where logs are kept. Developers work in your environments with access you grant and can revoke. Where data must not leave your infrastructure, they can run a self-hosted open-weight model. If you work under GDPR, HIPAA or a similar framework, share its requirements in the brief and the developer builds to those controls. What if the AI developer is not the right fit? Tell your Miracuves contact. In the first 2 weeks a replacement costs you nothing, and the code, prompts and evaluation sets already written stay in your repositories, so the next engineer starts from them rather than from zero. After that the engagement is month-to-month with two weeks' notice, and you can change its shape, for example from full-time to part-time, before ending it. Do you require degrees or certifications from your AI engineers? No. Miracuves selects AI engineers on skills: what they can build, how they test it and how clearly they explain it. Every engineer completes the same practical build task, code review, AI system design discussion and paid trial, and those results decide the shortlist. We also keep building our engineers' skills on new models and tools, so what a profile lists reflects current, hands-on work. Can remote AI engineers overlap with our working hours? Yes. Each profile shows the engineer's time zone, mostly IST, and every engagement commits to at least 4 hours of overlap with your team, confirmed in writing in the engagement letter. That covers UK and European hours comfortably and the morning of the US East Coast. Standups, reviews and pairing sit inside that window, and a written daily note covers the rest. Can a hired AI developer improve an AI feature we already have in production? Yes, and it usually starts with measurement rather than new code. The developer builds an evaluation set from your real traffic, finds where the current feature fails and ranks fixes by expected gain: retrieval changes, prompt changes, a different model or better data. Part-time suits this well. If the feature also needs deployment and monitoring work, add MLOps capacity or an [LLM development](https://miracuves.com/service/llm-development/) project alongside. Get Started ## Ready to add a dedicated AI developer ? Send a short description of the AI feature you want, the data it would use and how you would know it works. Miracuves replies within 2 hours (Mon-Sat, 10:00-19:00 IST) and follows with matched AI engineer profiles, the rate for the structure you need and a bilateral NDA to review, all before any commitment. **$1,499/mo**Part-time from**$3,299/mo**Full-time**<72 Hrs**Time to start**2 Weeks**Replacement [WhatsApp - Start Now](https://wa.me/919830009649)[Book a Free Consultation](https://miracuves.com/schedule-consultation/)[Request an AI Developer](https://miracuves.com/contact/) NDA signed before you share any data Checked by the Miracuves AI practice for AI developer hiring · Updated September 2026 · [Clutch & Google Reviews](https://miracuves.com/reviews-awards/) ## Disclaimer **Miracuves is an independent software development company.** We are not affiliated with, connected to, sponsored by, or endorsed by any of the brands or platforms named on this page. Names of the form “Brand Clone” are used descriptively: it is how the software industry refers to building a platform with functionality comparable to a known service, and how clients search for it. The entire design and codebase of our products is built by our own team and contains no code, design, graphics, or content originating from any third-party website or application. All third-party names and marks are the property of their respective owners. [Full Legal Notice & Disclaimer](https://miracuves.com/disclaimer/)