AI Full Stack Developer

EngineerMust have technical/functional skills The successful candidate should possess demonstrated experience in: Designing and implementing multi-agent orchestration frameworks and agentic workflows Building Retrieval-Augmented Generation (RAG) solutions leveraging both structured and unstructured enterprise data Developing enterprise knowledge retrieval platforms across SharePoint, document repositories, databases, and external knowledge sources Implementing AI governance controls including source traceability, explainability, auditability, and human review workflows Productionizing LLM-based applications with observability, monitoring, performance optimization, and security controls Architecting scalable and reusable AI platform capabilities Leading technical design discussions and mentoring engineering teams on AI engineering best practicesSkill set: Primary skills Python Azure OpenAI/OpenAI APIs/LangGraph/LangChain Retrieval-Augmented Generation (RAG) Vector Databases (Postgres pgvector, Pinecone, Elasticsearch, FAISS) REST APIs FastAPI / Flask SQL / NoSQL Databases Git, GitHub, Bitbucket Multi-Agent Systems Agent Orchestration Frameworks Semantic Search Knowledge Graphs Good to have Redis Elasticsearch Neo4j Financial services domain experienceSalary range: $90,000 - $100,000 a year