Senior Gen AI Engineer

As a Full-Stack AI Engineer at the company, you will have the exciting opportunity to work on cutting-edge AI applications with real-world impact in fintech and enterprise operations. You will be responsible for designing and developing GenAI-powered applications using Azure AI ecosystem and agentic frameworks, while also focusing on full-stack development and Azure deployment. Your role will involve collaborating with cross-functional teams, providing mentorship, and staying updated on the latest frameworks and tools in the GenAI space. **Key Responsibilities:** - Design and develop GenAI-powered applications using Azure OpenAI, Azure Cognitive Services, and LangChain/LlamaIndex. - Build multi-agent architectures for autonomous reasoning, workflow automation, and integrations with enterprise systems. - Implement RAG pipelines with embeddings, vector databases (Azure AI Search, Pinecone, Weaviate), and APIs. - Build backend services and APIs (Python FastAPI / Node.js / Express) to integrate GenAI features into applications. - Develop frontend components (React/Next.js, TypeScript) to deliver user-facing AI-powered experiences. - Deploy and manage AI services on Azure AI Foundry, Azure Functions, Kubernetes. - Work closely with Product & Engineering teams to translate business use cases into AI-driven features. - Provide mentorship to junior engineers on full-stack + GenAI integration. - Stay updated on LLM frameworks, orchestration tools, and multi-agent systems. **Qualifications & Skills:** - **Experience:** - 4-7 years in software engineering, with at least 2 years in Generative AI / LLM applications. - Proven track record in full-stack development (React/Next.js, Node.js, Python). - Hands-on experience with Azure AI (OpenAI, Cognitive Search, Azure ML). - **Technical Skills:** - Frontend: React/Next.js, TypeScript, Tailwind (or similar). - Backend: Python (FastAPI, Flask), Node.js/Express. - GenAI: Prompt engineering, embeddings, vector DBs, RAG pipelines, agentic design. - Cloud & Infra: Azure services, Docker, Kubernetes, CI/CD pipelines. - **Soft Skills:** - Strong problem-solving with a product-builder mindset. - Ability to explain GenAI solutions clearly to both technical and business stakeholders. - Comfortable in a startup culture (fast-moving, ownership-driven).,