Jobs → Engineering → GenAI Engineer

About the Role We are seeking a GenAI Engineer to develop production-grade GenAI applications and agentic workflows. This role involves integrating LLMs with various platforms and implementing context-aware AI solutions. Key Responsibilities • Build production-grade GenAI applications and agentic workflows • Integrate LLMs with OpenAI, GPT, and AnthropicClaude • Implement RAG pipelines, vector databases, embeddings, and context-aware AI solutions • Utilize Microsoft Azure, AKS, CosmosDB, and Azure Cache for Redis • Implement CI/CD using Docker, Kubernetes, and GitHub Actions • Monitor LLM performance, observability, tracing, latency, and token-cost tracking Requirements • Strong Python, FastAPI, and FastMCP development skills • Hands-on experience building production-grade GenAI applications • Experience with LLM integration and prompt engineering • Knowledge of vector databases, embeddings, and context-aware AI solutions • Experience with Microsoft Azure, AKS, CosmosDB, and Azure Cache for Redis • Familiarity with Docker, Kubernetes, and GitHub Actions CI/CD • Experience with AI-assisted development tools such as Claude, Codex, and VSCode • Strong communication skills for collaboration with US-based stakeholders