Hire AI engineers in India
HookStep puts forward India-based AI and ML engineers for teams building LLM products, retrieval pipelines, agents and the MLOps underneath them. You share the role, we send profiles matched to it, and you interview them yourself.
What our AI engineers work on
- LLM applications: chat, extraction, summarisation and classification features on OpenAI, Claude and Gemini models.
- Retrieval-augmented generation (RAG): chunking, embeddings, vector databases, hybrid search and re-ranking.
- Agentic workflows with LangChain and LangGraph: tool use, multi-step pipelines and human-in-the-loop review.
- Prompt engineering and evaluation: test sets, regression checks and measuring answer quality before release.
- MLOps: packaging, deployment, monitoring and cost control for models in production, mostly in Python.
What to put in the brief
AI roles vary more than most. "AI engineer" can mean someone who ships product features on top of a hosted model, someone who builds the retrieval layer, or someone who trains and serves models. Telling us which one you need is the single biggest factor in how good the first shortlist is.
Useful details: the model providers and frameworks you use, whether the work is prototyping or production hardening, the data sources involved, and how you evaluate quality today. If you want to see how we think about retrieval, our interactive RAG walkthrough shows chunking and embeddings step by step.
What happens after you share a role
- You send the brief: stack, seniority, time zone overlap, budget and engagement type.
- We match it against engineers we already know and source for the gaps, instead of pretending someone is on the bench.
- You receive profiles against that specific requirement, with contact details masked until you shortlist.
- You interview the shortlist yourself. Nobody starts until you have said yes.
How you can engage
- Contract: the engineer works on your team for a fixed term, billed hourly or monthly against the rate agreed for that role.
- Contract-to-hire: start on contract and convert to a permanent hire once both sides are sure.
- Permanent placement in India: we source and shortlist, you employ the engineer directly.
- Remote from India, or on-site at your office in India.
Frequently asked questions
Do you provide machine learning engineers as well as LLM application engineers?
Yes. Tell us whether the role is building product features on hosted models, building retrieval and agent pipelines, or training and serving models (MLOps), and we match against that rather than a generic AI label.
Which frameworks and models do your AI engineers use?
Mainly Python with LangChain and LangGraph, the OpenAI, Claude and Gemini APIs, and vector databases for retrieval. If your stack differs, say so in the brief.
How is pricing set?
Engineer rates are quoted per role, against the seniority, stack and engagement type in your brief. There is no fixed monthly rate card for engineers, so share the role and the budget you have in mind and we will tell you plainly whether we can fill it.
Do I interview the engineers myself?
Yes. You get profiles for your specific requirement, you run your own interviews, and nobody starts until you approve them.
Can the engineer work in my time zone?
Most of our engineers are in India (IST, UTC+5:30). For US or European teams we agree the required overlap hours in the brief and only put forward people who can commit to them.
Related
Hiring now? Tell us about the role, read how it works, or see the FAQ.