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Job Description

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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