Posted on: 20/05/2026
COMPANIES HIRING FOR THIS ROLE :
Pixeldust | Select AI | Quantiphi | LogiNext | Excedor | Nazara
MUMBAI TECH WEEK
WHAT YOU'LL DO :
- Build LLM-powered applications including chatbots, copilots, and document intelligence tools
- Design and implement RAG pipelines using vector databases and embedding models
- Develop and optimise prompt engineering strategies and agentic workflows
- Integrate LLM APIs (OpenAI, Anthropic, Gemini, or open-source models) into products
- Build robust backend APIs to serve AI capabilities to frontend and internal systems
- Evaluate model outputs and implement guardrails for reliability and safety
- Collaborate with product teams to translate business problems into AI solutions
WHAT WE'RE LOOKING FOR :
- 2-6 years of software engineering experience with strong Python skills
- Hands-on experience building with LLM APIs or open-source models
- Solid understanding of RAG, embeddings, vector search, and prompt engineering
- Familiarity with LLM frameworks such as LangChain, LlamaIndex, or similar
- Experience with vector databases such as Pinecone, Weaviate, or pgvector
- Working knowledge of REST APIs, cloud services, and containerisation (Docker)
- Experience with fine-tuning or instruction tuning of LLMs is a plus
- Exposure to agentic frameworks or multi-agent systems is a plus
SKILLS AND TOOLS :
- Python
- LLM APIs
- RAG
- Prompt engineering
- LangChain / LlamaIndex
- Vector databases
- Embeddings
- FastAPI
- Docker
- OpenAI / Anthropic / Gemini
- Fine-tuning
- Agentic workflows
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