Hire AI Engineers in India

We offer specialists across the full AI spectrum: LLM engineers (GPT-4, Claude, Gemini fine-tuning), RAG system architects, ML engineers (model training & deployment), AI automation engineers (n8n, LangChain, CrewAI), computer vision engineers, NLP specialists, and MLOps engineers for production pipelines.

Yes. Our engineers are experienced with fully private deployments using Ollama, LM Studio, vLLM, and open-source models (LLaMA 3, Mistral, Phi-3, Gemma) - so your data never has to leave your own infrastructure. Critical for HIPAA, GDPR, and enterprise compliance.

Absolutely. We design and build production-grade RAG systems with custom document ingestion pipelines, vector database management (Pinecone, Weaviate, pgvector, Qdrant), hybrid search, re-ranking, and hallucination guardrails - tuned for your specific domain.

Yes. We build autonomous AI agents using LangChain, LangGraph, CrewAI, and AutoGen - with tool use (web search, code execution, APIs), memory, and multi-agent orchestration for complex workflow automation.

We implement evaluation frameworks (RAGAS, DeepEval, custom evals), prompt versioning, A/B testing pipelines, output guardrails, and human-in-the-loop review workflows to ensure accuracy, safety, and consistency in production.

Yes - this is one of our most common engagements. We integrate LLM-powered features (chat, summarization, classification, search, recommendations) directly into your existing Node.js, Python, React, or mobile stack without requiring a full rebuild.

We are flexible. Engagements can start from 1 month for focused AI feature development, or scale to long-term embedded team arrangements. Most clients start with a 3-month engagement and extend.

We share shortlisted AI engineer profiles within two working days of your requirements call, and an engineer you choose starts within one to two weeks, depending on whether they are free now or finishing another project.

Builds product features on top of language models: answering questions from your own documents, drafting and extracting text, and the checks that keep a person in charge of anything that cannot be undone. Choosing the model, writing and testing prompts, measuring answer quality and keeping cost in check are part of the job.

Yes. A RAG developer builds retrieval over your documents, tests whether the right passages reach the model, and shows sources with every answer. It is a narrower hire than a general AI engineer, at the published AI engineer rate for their seniority.

From $4,000 a month for a dedicated engineer working full time on your project, or $25-40 an hour for shorter or part-time work. The low end is a junior on routine work and the top a senior on complex builds; you get the exact number before you interview anyone. There is no placement fee, and the engagement is monthly with a month's notice either way.

Hire a dedicated engineer for ongoing work you want to manage yourself, a freelancer for a short job with a clear end, and an in-house team for work that is core to the business for years. A dedicated engineer through us works only on your project, in your tools and under your management, while we carry the contract, payroll and a replacement if one is ever needed. In-house costs the most to hire and keep, and a freelancer leaves when the job ends.

Experience taking a model from a notebook to a running service, which is where most AI projects stall. Understanding of retrieval, evaluation and cost control, and of when a smaller model or no model at all is the right answer. Ask how they would test that an assistant is giving correct answers. If the answer is "we read a few", they have not run one in production.

Yes, and that is the usual arrangement. The engineer joins your Slack or Teams, works in your repository and your ticketing tool, and reports to whoever runs your engineering. We agree the daily overlap hours in writing before anyone starts - most of our clients work in other time zones, and a working-day overlap of several hours is normal. You manage the work; we handle the contract, payroll and a replacement if it is ever needed.

Tell us early and we will replace them - that is on us, not on you. The engagement is monthly with a month's notice either way, so there is no lock-in to argue about. Replacements come from the same in-house team, interviewed by us, and the handover happens inside your repository and your tools rather than through a fresh onboarding. Shortlisted profiles for a replacement follow the same two working days as the first hire.