About the Role : -
We are seeking a Generative AI Engineer with 2+ years of experience to build and scale production-ready Agentic Systems using Large Language Models (LLMs). You will work on RAG pipelines, agent workflows, evaluation, and deployment of reliable AI systems.
Key Responsibilities : -
- Build retrieval-augmented generation (RAG) pipelines with embeddings, hybrid search, and reranking
- Implement agent orchestration, tool / function calling, and prompt management
- Develop evaluation, monitoring, and observability for LLM systems
- Ensure AI safety, governance, and data privacy best practices
- Optimize performance using caching, batching, and streaming
- Package solutions as APIs / SDKs and deploy using cloud-native tools
Tech Stack : -
Languages : Python (primary), TypeScriptFrameworks : FastAPI / Flask, LangChain / LlamaIndexLLMs : OpenAI, Anthropic, Google, Azure OpenAI, AWS BedrockInfra : Docker, CI / CD, Terraform / CDKCloud : AWS / Azure / GCP (any one)Requirements : -
2+ years of software or AI engineering experienceStrong Python and backend development skillsHands-on experience with LLMs and cloud deploymentsUnderstanding of scalable systems and data securityWhat We Offer : -
Work on cutting-edge Generative AI productsHigh ownership and learning opportunitiesCompetitive compensation and growth