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Generative AI and LLMs logoDedicated developers

Hire LLM Developers in India

Hire dedicated large language model developers who build assistants, retrieval systems and document pipelines for production use — working inside your stack, your data boundaries and hours that overlap your time zone.

  • Hosted models
  • Open models
  • Frameworks
  • Retrieval
How hiring works

How you can hire

  • Full time8 hours a day, a minimum of 176 hours a month, working 22 days.
  • Part time or hourlyA few hours a week when that is all the work needs.
  • Your time zoneWe follow the Indian time zone (GMT +5:30) and overlap with yours.
  • Billed weekly or monthlyInvoices go out weekly, or in the first week of each month.
A large language model on its own answers in general terms. The work that makes it useful to your business is everything around it: getting your own documents in front of the model, deciding what it is allowed to do, measuring whether its answers are right and keeping the bill predictable. That engineering is what our LLM developers do.
They work with hosted models — OpenAI's GPT, Anthropic's Claude, Google's Gemini — and with open models such as Llama and Mistral when your data has to stay inside your own environment. The model is chosen per project, on quality, cost and where the data is allowed to live, not on a vendor preference. And when a rules-based solution would be cheaper and better than a model, we say so.
Behind the AI work are 19+ years of building web and mobile software — your assistant still has to be a well-built application underneath. Hire an LLM developer full time, part time or hourly, talk to them directly, and add a Python developer, a front-end developer or a QA analyst from the same team when the scope grows. Prefer a managed project? See our generative AI development and AI chatbot development services.
Skills on the bench

LLM Developer Skills and Stack

We are not tied to one vendor. These are the parts that come up on most LLM projects.

  • Hosted models: GPT, Claude and Gemini
  • Open models: Llama, Mistral and Qwen, run in your own environment
  • Frameworks: LangChain, LlamaIndex or the model SDKs directly — whichever is simplest to maintain
  • Retrieval: pgvector, Pinecone, Qdrant and Elasticsearch, with chunking and re-ranking tuned to your documents
  • Services: Python with FastAPI; Node.js or PHP inside an existing application
  • Evaluation: golden question sets and regression runs on every prompt change
  • Deployment: Docker on AWS, GCP or Azure, with keys, rate limits and spend caps outside the code
  • Guardrails: PII handling and an audit log around every model call
What they build

What an LLM Developer Builds for You

The work we are asked for most often.

  • Assistants on your documents (RAG)

    Answers drawn from your own content, with citations back to the source.

  • Document intelligence

    Structured fields extracted from contracts, invoices, forms and email.

  • Support copilots

    Draft replies in your tone, with a hand-off to a person when the model is unsure.

  • Semantic search

    Search that understands the question instead of matching keywords.

  • Summaries and classification

    Pipelines that work through large back catalogues of content.

  • Evaluation and cost control

    Proof that a change improves answers before it ships, plus caching, batching and smaller models for easy traffic.

How hiring works

Hire an LLM Developer in 5 Easy Steps

  1. STEP 01

    Raise your request

    Tell us the use case, the data involved and how you would like to hire.

  2. STEP 02

    Discuss your requirement

    Agree the scope, the model options and working hours that overlap with yours.

  3. STEP 03

    Select experts

    We share the profiles that fit and you choose who joins your project.

  4. STEP 04

    Finalise the terms

    Agree hours, billing cycle and NDA before any work starts.

  5. STEP 05

    Assign and kick start

    Your developer starts on your project and reports to you directly.

The team behind the hire

You Are Hiring From an In-House Team, Not a Marketplace

Every developer you hire sits in our own office, on our payroll, with a team lead and a QA analyst beside them. If someone is ill or moves on, we cover the gap — your project does not stop.

  • Direct communication with the developer working on your project
  • 100% confidentiality — strict NDA terms
  • The developer works only on your project, not shared across accounts
  • Scale the team up or down as the work changes
Meet the team

  • 19+

    Years building software with the same team

    Since 2006, for clients across the USA, UK, Europe, the Gulf and Australia.

  • 150+

    In-house engineers

  • 1,500+

    Clients served

  • 3,000+

    Projects delivered

  • 18+

    Industry awards

  • ISO — Certified company
  • Freelancer — Top 10 certificate
  • NASSCOM — Member company
  • GoodFirms — Verified company
  • Microsoft — Achievement
  • Clutch — Company profile
Proof, not promises

Projects This Team Has Delivered

A few recent builds. Every case study on the site was delivered by the same in-house team you would be hiring from.

All case studies
Other roles

Need a Different Skill?

The same terms apply to every role on the bench.

See every skill we hire out

Hiring LLM Developers: Frequently Asked Questions

  • An AI/ML developer usually trains a model on your data — forecasting, classification, computer vision. An LLM developer builds around a model that already exists: retrieval, prompting, evaluation, guardrails and integration. Many projects need both, and we staff them from the same team.

Tell us what you are building

Send us the scope and we will come back with the profiles that fit, their experience and what they cost — usually within a working day.

Covered by a strict NDA from the first conversation.