Expereince : 3 + Years

About the Role :

We're looking for a Senior AI Developer with deep expertise in building AI agent systems, retrieval-augmented generation (RAG) pipelines, and deploying production-grade GenAI applications.

You will be a core contributor in designing, developing, and scaling intelligent agentic workflows using modern frameworks like LangGraph, CrewAI, and LangChain.

This is a high-impact role for someone passionate about LLMs, context-aware automation, and multi-agent orchestration.

Key Responsibilities :

- Design and implement AI agent frameworks for task decomposition, tool use, memory handling, and multi-turn conversations.

- Build and optimize RAG pipelines using tools like LangChain, LlamaIndex, or custom vector search setups.

- Integrate agents with internal tools, APIs, and databases to support real-world use cases (e.g., customer support, scheduling, workflow automation).

- Collaborate with ML researchers and product teams to experiment with novel architectures and orchestrators like LangGraph and CrewAI.

- Monitor and evaluate model performance across various use cases using telemetry and custom analytics.

- Ship production-ready systems with robust logging, testing, and monitoring pipelines.

- Stay up-to-date with the latest in LLMs, open-source agentic frameworks, and vector search infrastructure

Required Skills & Qualifications :

Must-Have Experience :

- Programming - Python (advanced), Typescript/Node.js (nice to have)

- AI Frameworks : LangGraph, CrewAI, LangChain, LlamaIndex, OpenAI, Hugging Face

- Agent Systems : Designing task-oriented agents with memory, tool use, planning, and inter-agent communication

- RAG Architecture : Document loaders, chunking strategies, vector embedding models, hybrid search (BM25 + vector), contextual reranking

- LLM Tooling : OpenAI GPT-4/4o, Claude, Gemini, local models (e.g., Mistral, LLaMA)

- Infrastructure : Vector DBs (e.g., Weaviate, Pinecone, Qdrant, Elasticsearch), Postgres, MongoDB

- MLOps : Prompt engineering, model evaluation, A/B testing, telemetry, observability

- Deployment : REST APIs, FastAPI, Docker, CI/CD pipelines

- Other : Strong written and verbal communication; ability to work independently and own initiatives end to end