Hire Generative AI Developers in India
Dedicated engineers who take a Gen AI idea past the demo: RAG over your own documents, agents that call your systems, MCP servers, and voice agents. They work on OpenAI, Claude, Gemini or a model hosted inside your network. Attrition is under 5% against an industry average of 20 to 25%, which matters when your prompts and test cases live in one engineer's head. Start with a 5-day free trial.
No obligation. Interview as many engineers as you like, and run your own technical round, before you commit.
A Gen AI system that survives production is mostly engineering around the model: clean retrieval, a model you can swap, tools behind a protocol, and tests that catch a wrong answer before your users do.
What Actually Determines Your Gen AI Developer Rate
"AI engineer" is now on CVs of people who have called one API, and of people who run evaluated RAG systems in production. One published number cannot describe both. So we publish the six things that move the price, and give you a firm quote in one working day.
Seniority
An engineer who wires a chat box to an API and one who designs retrieval, evaluation and tool access for production are different hires. We tell you plainly which one your work actually needs, before you pay for it.
Team size
One Gen AI engineer and a squad with a backend developer, a front-end developer and a tester are priced differently. Per-head cost drops as the team grows, because our overhead per engineer drops too.
Contract duration
A three-month build and a two-year roadmap carry different rates. Longer terms price better because recruitment cost is spread further. Gen AI systems also need tuning after launch, so most clients keep someone on.
Payment terms
Advance, milestone and net-30 billing do not cost us the same, so they are not priced the same. Tell us what your finance team needs and we build the quote around it, rather than pretend it makes no difference.
Where you contract from
Indian clients are quoted in rupees at domestic rates with GST. International clients are quoted in US dollars. Two markets and two rate cards, each set fairly for the market it serves. Nobody in India is handed a dollar rate converted into rupees.
Remote, onsite or hybrid
Most Gen AI engagements run remotely from Coimbatore. Where your data cannot leave your building, an engineer can work onsite within India. Onsite carries relocation and allowance costs, so it is priced separately, but it is genuinely available.
A firm quote in one working day
Tell us what you are building, the seniority, how many engineers and roughly how long. You get a written quote with the rate, the minimum term and the notice period inside one working day. Model usage is billed to you directly by the provider, never marked up by us.
Get My QuoteFour Things We Put in Writing Before You Pay
Hiring an engineer thousands of kilometres away is a leap of faith. These four commitments are in every contract we sign, not buried in a proposal deck.
5-day free trial
Work with the engineer for five business days at no cost. Real tickets, real sprint, your tools. If it is not a fit, you owe nothing.
Replacement in 5 business days
Unhappy with the engineer at any point in the engagement? We replace them free of charge within five business days. No argument, no invoice.
100% IP ownership
Every line of code, every commit, every design file is yours from the moment it is written. Assigned in the contract, not promised verbally.
Signed NDA + ISO 27001:2022
Mutual NDA signed before you share anything. Our information security is independently certified, so your security review already has an answer.
Four Situations Our Gen AI Engineers Are Hired For
If one of these sounds like your quarter, you are in the right place.
Your demo never reached production
The prototype impressed everyone in the meeting. Then it gave a confident wrong answer, the token bill doubled, and nobody could say why. You need engineers who add retrieval, evaluation and cost control to what exists, not another demo.
Your staff cannot find what is in your documents
Manuals, SOPs and policies sit across shared drives, and people ask colleagues instead. You need an assistant that answers only from your approved documents, shows the page it used, and logs what people ask.
You want Claude or ChatGPT to use your systems
Your team already lives in an LLM chat window and wants it to read your CRM, project tool or database. You need an MCP server or tool-calling layer with authentication, permissions and logging done properly from the start.
Your product team has no Gen AI engineer
You have a roadmap with Gen AI features on it and nobody who has shipped one. Our engineers join your standups, your tracker and your repo, deliver alongside your developers, and step back once you have hired.
What Our Gen AI Engineers Actually Work With
Not "expert in all AI". Here is the specific toolset, split by the job it does, so your engineering manager can judge it. Every item is something a senior engineer of ours will defend in your technical interview.
Models & hosting
RAG & data
Agents, tools & MCP
Voice, automation & quality
Three honest caveats, so you hire the right person
On model training
Our in-house engineers build applications on top of existing models. If you need model training, fine-tuning, computer vision or data science, we source those specialists through our partner network, under the same contract.
On model costs
Our rate covers the engineer. Model usage is billed to your own account by OpenAI, Anthropic or Google, at their prices. We track cost per query from day one, and use a local model where the numbers say so.
On accuracy promises
No LLM system is right every time, and anyone who promises a percentage before seeing your data is guessing. We ground answers in your documents, show the source, and test against your own questions.
The Same Engineers Deliver Our Gen AI Services
Hiring an engineer suits an ongoing roadmap. If you would rather hand us a defined outcome, each of these is also a project we scope, build and support.
Many clients start with a fixed-scope project and then keep one engineer on to run and improve it. Both routes carry the same contract terms.
Three Seniority Bands, and What Each One Can Do
Production LLM work only goes back to 2023, so anyone selling "ten years of Gen AI" is selling fiction. Our bands are total engineering experience, with the Gen AI part stated plainly. Name a band and you get three matched CVs within 48 hours.
Designs the system: retrieval and chunking strategy, model choice and fallback, tool access over MCP, and the evaluation set that decides whether a change ships. Sets cost and latency budgets. The band for a new build, a rescue of a stalled prototype, or a regulated environment such as healthcare or finance.
Takes a feature from spec to release: document ingestion pipelines, vector search, prompt and tool definitions, FastAPI endpoints, and the admin screens around them. Works in your codebase with little hand-holding. This is the band most staff augmentation engagements sit in.
Works well-specified tickets on an existing system: adding documents and connectors, writing evaluation questions, prompt fixes, logging and dashboards, and bug fixes. Supervised by one of our seniors on quality. Good value where you have a running system and a steady backlog.
Sent within 2 working hours during IST business hours. We also keep a live bench list of available engineers across every stack.
Not on Our Bench? You Still Get a Profile.
Most vendors go quiet when the exact skill you need is not sitting idle in their office. We do not, because our own bench is not the only bench we can reach.
In-house first, always
We start with our own 80+ engineers in Coimbatore. If the match is on our payroll, that is who you get, because it is the fastest and most accountable option for both of us.
30+ partner companies across India
Where we do not have the match in-house, we have standing partnerships with more than 30 established Indian IT services companies and access to their benches. Far wider reach than any single company's bench, without going near an anonymous freelance marketplace.
One point of contact, same guarantees
You deal only with us. We source, screen and assess the engineer, we hold the contract, we send one invoice, and we carry the accountability. The 5-day trial, the 5-business-day replacement, the IP assignment and the NDA all apply exactly the same way.
This is not theoretical. It is how we sourced and screened 250+ profiles and got 30+ engineers onboarded for Biz2Credit in New York inside three months. That was a JavaScript engagement, not Gen AI; it is here because it shows the reach, which works the same way for Gen AI roles. Read the Biz2Credit case study.
Gen AI Systems We Have Built and Run
A study assistant for hospital nurses that answers only from approved documents, a content agent in production at a US publisher, and the MCP server and support bot we run on our own business. Ask us to walk you through any of them on a call.
Nurses were spending their time searching shared drives for study material and SOPs. We built a RAG assistant that answers only from the hospital's approved documents and links each answer to the exact page it came from.
- Every answer cites its source document and page
- Local model inside the hospital network, cloud model optional
- Admin panel for documents, session logs and cost per query
- Evaluation module re-tests benchmark questions when documents change
Fixed-scope build: 2 AI engineers, backend, front end, QA, PM
We already run 1851’s Next.js, Laravel and Node.js platform. We then built an AI content assistant into its CMS that generates SEO- and GEO-optimised headline options for each brand, tailored to its type and industry, so editors start from strong options instead of a blank page .
- Live in production inside the Hello by Mainland CMS
- Headlines written as real Google, ChatGPT and Gemini search queries, with brand, competitor, year and cost details built in
- A human editor reviews every piece before it is published
- Built and supported by the team that runs the platform, so there is no extra vendor
Ongoing platform engagement, AI assistant added
We run Gen AI on our own operations before we sell it. Our project management system, TT-PMS, has an MCP server, and the support assistant on this website is TechnoTalk, our own RAG platform.
- TT-PMS MCP server connects Claude and ChatGPT to our project data
- Ask in plain English for projects, budgets, timesheets, allocations and bench
- Each user connects with their own login, so answers follow their access
- TechnoTalk answers website visitors from our own content
- Built and maintained by the same team we staff from
Internal products, in use today
How We Vet, and How You Should Test Us
Every vendor claims their developers are "A+". Here is our actual process, and the questions we think you should use to check whether it worked.
Our screening process
- CV and stack screen Role-specific filter against the skill matrix above: which models and frameworks they have shipped on, whether anything they built reached real users, and how it was tested. Not an "AI" keyword match, which catches everyone and proves nothing.
- Scored technical assessment Run on our own assessment portal, built and maintained in-house. Role-specific, scored and timed. Only candidates who pass go any further, and you get the report alongside the CV so you see the score before you interview.
- Live coding round A real problem, such as a small retrieval pipeline over a set of documents that must cite its source, solved while we watch. No take-home assignments, because those can be outsourced.
- Technical interview with a senior engineer Chunking and retrieval choices, evaluation, tool calling and permissions, prompt injection, cost and latency trade-offs, and when a local model beats an API.
- Communication check and reference verification They will be on calls with your team, so we check that directly. Prior employer verification before any offer.
We hire for retention, not just for skill. That is why our attrition sits under 5% while the Indian IT industry average is 20 to 25%.
What you should ask us to prove
- Interview the actual engineer, not a sales lead. Ask us to put the engineer on the call unaccompanied. If a vendor resists this, walk away.
- Ask how they would know an answer is wrong. A strong engineer talks about an evaluation set built from your real questions, re-run on every change. A weak one says they would "test it".
- Ask what happens if a document says "ignore your instructions". A strong engineer explains how retrieved text is kept separate from instructions and what the tools are allowed to do. A weak one has not thought about it.
- Ask whose API key the demo runs on. Keys, billing and the vector index should sit in your company's accounts from day one. Ours always do.
- Ask who owns the code. Get IP assignment in the contract, in writing, before day one. We assign it by default.
- Ask what happens if it is not working. Get the replacement window and notice period in the contract. Ours are 5 business days and 30 days.
- Ask for the attrition figure. Very few vendors will give you a number. It is the best single predictor of whether your engineer is still there in month nine.
Pick the Model That Fits, Not the One That Suits Us
Three ways to work with us. The differences that actually matter are hours, minimum term and who manages the engineer day to day.
| Model | Hours | Best for | Minimum term | Notice to exit | Who manages day to day |
|---|---|---|---|---|---|
| Dedicated full-time Best value per hour |
8 hrs/day 5 days/week, approx. 160 hrs/month |
Ongoing product work, roadmap delivery, filling a headcount gap | 3 months | 30 days | Your lead, in your sprints |
| Dedicated part-time | 4 hrs/day 5 days/week, a fixed daily window agreed with you |
Maintenance, a second pair of hands, specialist input alongside your team | 3 months | 30 days | Your lead, in your sprints |
| Hourly / time & material Most flexible |
As needed billed on actual hours worked |
Short scoped work, spikes, audits, unpredictable volume | None | 2 weeks | Our project manager, or yours — your call |
Three things worth spelling out
- Starting is fast, whichever model you pick. Your engineer is onboarded and working two working days after you sign off. None of these models has a waiting period at the start.
- "Notice to exit" applies only at the end. It is how much warning you give us when you want to close the engagement, so we can plan the handover properly and redeploy the engineer. It has no bearing on how quickly you can start.
- Part-time means four hours every working day in a window we agree with you upfront, not eighty hours to be spent whenever. That way your engineer is predictably there for your standup and your working sessions, rather than disappearing for a fortnight and then working double.
All three models include the 5-day free trial, the 5-business-day replacement guarantee, 100% IP assignment and a signed mutual NDA. Daily standups and weekly written reports are standard. We work in your tracker — Jira, Linear, ClickUp, Asana, Zoho Projects or ours. Onsite deployment within India is available and priced separately.
Your Engineer Starts in 2 Working Days
Not "as soon as possible". Here is the actual timeline, and we will tell you upfront if your requirement will not fit it.
We understand the role
A short call or a written brief. Platforms, seniority, timezone overlap, duration, remote or onsite. Sukumar replies within 2 working hours.
Firm written quote
Rate, minimum term and notice period in writing. No discovery call needed first, no obligation after.
Three matched profiles
Full CVs with real project history, the scored assessment report from our own portal, availability dates. Then you interview as many as you like.
Onboarded and committing
NDA and contract signed, access provisioned, engineer in your standup. The 5-day free trial clock starts here.
Six Things Most Offshore Vendors Cannot Say
Every one of these is a fact you can check, not a claim you have to take on trust.
Attrition under 5%
The Indian IT industry averages 20 to 25%, and Gen AI engineers are the most poached people in it. Your prompts, edge cases and eval set live in their heads. Ours stay. Ask any vendor for their number.
ISO 27001:2022 certified
Independently audited information security management, not a self-declared policy PDF. If your security team sends a questionnaire, we have already answered most of it. See the certificate.
11 years, 400+ clients, one office
Same founder, same leadership, same Coimbatore delivery centre since 2015. Oro Corp has been with us since 2015 and Tart Labs for years. We are not a brokerage reselling freelancers.
In-house first, 30+ partner benches behind it
80+ engineers on our own payroll in Coimbatore, and that is always where we look first. Where the match is not in-house, partnerships with 30+ Indian IT companies give us the reach — with us still holding the contract and the accountability. How that works.
Partners of both OpenAI and Anthropic
We are an OpenAI Select Partner and an Anthropic Claude Registered Partner. That brings no special prices and no endorsement, so we recommend whichever model, or local model, suits your data and budget. Ask us for both programme confirmations.
You talk to engineers, not account managers
Your engineer joins your standup, your tracker and your repo, and reports to your lead. No layer of project management wedged between you and the person writing the code.
Gen AI Engineer, ML Engineer or Data Scientist: Which Do You Actually Need?
Three different jobs that all get called "AI". Hire the wrong one and you pay a premium for skills the project never uses, while the skills it does need go missing.
| Consideration | Gen AI (LLM application) engineer | ML engineer | Data scientist |
|---|---|---|---|
| What they build | Applications on top of existing models: RAG assistants, agents, MCP servers, voice agents. | The models themselves: training, fine-tuning, and the pipelines that serve and retrain them. | Analysis and predictive models from your structured data: forecasts, segments, experiments. |
| Core skills | Software engineering, APIs, retrieval (RAG), prompt design, tool design, evaluation, AI security, cost control. Tools: Python, FastAPI, LangChain, OpenAI, Claude and Gemini APIs, Ollama, ChromaDB, pgvector, MCP. | ML frameworks, GPUs, MLOps, model optimisation. Tools: PyTorch, TensorFlow, Hugging Face, MLflow, Docker, Kubernetes, AWS SageMaker. | Statistics, SQL, machine learning, notebooks, visualisation. Tools: Python (pandas, NumPy, scikit-learn), Jupyter, Power BI or Tableau. |
| The common mistake | Hiring someone who has only called an API and never run anything for real users. | Hiring one to "add ChatGPT". Overqualified for the job, slower to ship, and costlier. | Hiring one to build a RAG system. Strong maths, but often no production engineering. |
| Hire when | Your value is in your documents, systems and workflows, and an existing model is good enough. | No existing model fits, and you have the data and budget to train one. | The question is analytical, and a chat interface is not the point. |
| Hiring market in India | New and thin at senior level. The realistic pool is strong backend engineers who have shipped LLM systems. | Harder to find at senior level, and often concentrated in product companies. | Widely available, with quality that varies a lot. |
| Our honest recommendation | For most business uses, such as internal knowledge, customer support, document workflows and giving your team tools inside Claude or ChatGPT, hire a Gen AI engineer first. Bring in an ML engineer only once an existing model has been tried and genuinely cannot do the job. Hire a data scientist when the question is about your numbers, not your documents. We staff the first column from our own team, and source ML engineers and data scientists through our partner network when a project genuinely needs them. | ||
Companies That Have Trusted Our Engineers
A selection of clients across our engagements, Gen AI and otherwise. Ask us about any of them on a call.
Franchise media, USA — SEO content agent and platform
Healthcare AI, Japan — core engineering team, 2 years
Training agencies, Florida — dedicated web and mobile team
Fintech, New York — engineers sourced at volume
Global IT services — onsite placements, 2017 to 2026
Market research — Yii2 and Laravel, eight years
EdTech SaaS, India — platform partner, almost ten years
SaaS, UK and Coimbatore — front-end developers onsite
Legal tech, USA — web application
Product studio — multi-year engagement
What Our Clients Say
Real reviews from long-term clients — click any card to verify it on Google, YouTube, or LinkedIn.
Nick Powills
Chief Growth OfficerWe have long searched for an honest, trustworthy technology partner — and found that in Bala and his team. Grateful for the relationship and friendship. Highly recommend.
Mainland, Chicago
Flemming Elleboe
Chief Technical OfficerAs a technology-driven international dive agency, we were impressed by Techno Tackle’s talent, responsiveness, and system expertise. Their team enhanced productivity and efficiency significantly.
ITI Holdings Inc, Florida
Tatiana Pellow
FounderBig thanks to Techno Tackle for outstanding support in designing and developing our iOS and Android apps. Their guidance was invaluable.
Local Spots App, California
James Councill Jr.
OwnerExceptional managed team and staff augmentation services. Their flexibility and professionalism consistently exceeded expectations.
Councill Media Group, Florida
Vineet Tyagi
Global CTOWe are grateful for Techno Tackle’s timely support in sourcing and deploying talented individuals. Highly recommend their staff augmentation services.
Biz2X & Biz2Credit, New York
Abhinav Mahajan
FounderThe only outsourcing company in my 10 years of experience I’ve given 5 stars. Commitment, insights, and execution are world class.
Agsure Innovations Pvt Ltd, Delhi
Anantharam Vanchiprakash
FounderFantastic experience. The engineer delivered exactly what we needed with great professionalism.
Code Karma, Bengaluru
Prabu Kesavan
FounderVery professional, transparent, and cost effective team. Wonderful experience.
Accopedia, Coimbatore
Jayanth Viswanathan
DirectorWonderful experience getting our website up and running. The flexibility provided to update nearly 75% of the website independently is outstanding. Follow-up and execution were flawless.
Akshayam Corporate Advisors Pvt Ltd, Chennai
Rajesh Pandita
DirectorWorking with Technotackle has been professional and pleasant. Their services helped us onboard excellent candidates faster. Looking forward to continuing our partnership.
Amicus Infotech Pvt Ltd, Delhi
Gowtham Raj
FounderWe’ve worked with Techno Tackle for years. Energetic, eager to learn, and great for quick website or mobile app development.
Tart Labs, Coimbatore
Yatin Kanekar
CEOGreat teamwork and enthusiasm at all levels — from junior associates to senior experts. Looking forward to continuing our collaboration.
Infipre IT Services OPC Pvt Ltd, Goa
Palaniappan Nelliyan
DirectorClarity of thought, strong customer support, and a great team make Techno Tackle our first choice for mobile app requirements.
Strat AI, Coimbatore
Naveen Hegde
FounderTechno Tackle delivered excellent UI & UX design. Friendly, highly competent staff. Already recommended them to many peers.
Codegres, Bengaluru
Sreekesh Krishnan
Co-FounderHighly recommended — great efficiency and accountability by the team. We have been working with them since 2015, and they continue to do an awesome job!
Oro Corp, Chennai
Frequently Asked Questions About Hiring Generative AI Developers
Including the ones most vendors dodge.
How much does it cost to hire a generative AI developer from India, and why don't you publish your rates?
Because "AI engineer" covers too wide a range for one number to mean anything: someone who has wired up one API and someone who runs evaluated RAG systems in production are different hires. Six things set the real rate: seniority, how many engineers you take, contract duration, payment terms, remote or onsite, and whether you contract from India or overseas. Indian clients are quoted in rupees at domestic rates; international clients in US dollars.
Model usage is separate. It is billed to your own account by the model provider, and we never mark it up. Tell us what you are building, the seniority and roughly how long, and you get a firm written quote within one working day.
Who owns the API keys, the model accounts and our data?
You do, and you should insist on it with any vendor. Your OpenAI, Anthropic or Google accounts, the API keys, the usage billing and the vector database should all be registered to your company from day one, with our engineers added as members.
The prompts, tool definitions, evaluation sets and the code around them are covered by our 100% IP assignment. If a vendor runs your system on their own keys, changing vendor means rebuilding the index and losing your usage history. Ask about this before you sign.
Do we need a Gen AI engineer, an ML engineer or a data scientist?
For most business uses, a Gen AI engineer: someone who builds applications on top of existing models, such as a RAG assistant over your documents, an agent that calls your systems, or an MCP server. An ML engineer trains or fine-tunes models, which you need only when no existing model can do the job. A data scientist answers questions from your structured data. Gen AI engineers come from our own team; ML engineers and data scientists we source through our partner network, on the same contract terms. There is a side-by-side comparison further up this page.
Which models, frameworks and vector databases do your developers work with?
Models: the OpenAI, Anthropic Claude and Google Gemini APIs, and open-weight models self-hosted with Ollama. Frameworks: LangChain, LangGraph and LlamaIndex, with Python and FastAPI. Vector databases: ChromaDB, pgvector, Pinecone and Qdrant. We also build MCP servers, voice agents, n8n workflows and evaluation suites. For fine-tuning or model training, we source specialists through our partner network.
Can a Gen AI system run without our data leaving our network?
Yes. An open-weight model can run on your own servers, so documents and questions never reach an outside provider. That is how the nurse study assistant we built for a hospital in Coimbatore works, with a cloud model kept as a switchable option for heavier queries. Local models need suitable hardware and are usually less capable than the best cloud models, so we test both on your own questions before you decide.
How do you stop the system giving wrong or made-up answers?
Three ways, and none of them is a promise of perfection. We ground answers in your approved documents and instruct the model not to answer outside them. Every answer shows its source, so a user can check it. And we build an evaluation set from your real questions, re-run whenever documents, prompts or models change. Be wary of any vendor that quotes an accuracy percentage before they have seen your data.
How fast can a developer start, and can we interview them first?
Three matched profiles within 48 hours, each with our own assessment report and a plain statement of what the engineer has actually shipped. Interview as many as you like, run your own technical rounds, and talk to the engineer with no salesperson on the call. Once you sign off, the engineer is in your standup within two working days. UK clients get four to five hours of natural overlap, and for US clients our engineers shift their hours to give at least four.
What protects us if it doesn't work out, and who owns the code?
Three things, all in the contract. A five-day free trial: if it is not a fit, you owe nothing. A free replacement within five business days, at any point in the engagement, with no reason needed. And 100% IP assignment with a mutual NDA, covering code, prompts, evaluation sets and documentation, signed before work starts.
Get In touch with Us
Have a project in mind? Think with Techno Tackle. Feel free to reach us today for the creation of innovative solutions.
Sukumar M
Sr.Manager - Business Development
Let's have a discussion. If you have an idea and want to make it happen, or if you want to learn more about how we work. We will schedule a call with our project manager.
Hiring for a Different Stack?
Hire Generative AI Developers from India, Delivered from Coimbatore
Techno Tackle is an ISO 27001:2022 certified software company in Coimbatore, Tamil Nadu, providing dedicated generative AI developers to product companies, software firms and enterprises in India, the United States, the United Kingdom, Canada, Australia and Japan. Our engineers build RAG systems, AI agents, MCP servers and voice agents in Python on the OpenAI, Claude and Gemini APIs or on self-hosted models, with LangChain, LangGraph, LlamaIndex and vector databases such as ChromaDB and pgvector.
They join your team, your sprints and your repository, remotely from Coimbatore or onsite in India. That is how a hospital in Coimbatore got a nurse study assistant that cites its sources and runs inside its own network, how 1851 Franchise got an AI content assistant live in production inside its CMS, and how we run our own business through an MCP server on our project management system.
What we compete on is retention: engineer attrition under 5% against an industry average of 20 to 25%. Every engagement includes a five-day free trial, free replacement within five business days, full IP assignment and a signed mutual NDA, and your API keys and data stay in your name. Tell us the role and you get a firm quote within one working day and three matched profiles inside 48 hours.
