AI Full Stack Developer

• Must 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 practices
• Primary Skills
• Azure OpenAI/ OpenAI APIs/ LangGraph/ LangChain
• Retrieval-Augmented Generation (RAG)
• Vector Databases (Postgres pgvector, Pinecone, Elasticsearch, FAISS)
• FastAPI / Flask
• SQL / NoSQL Databases
• Git, GitHub, Bitbucket
• Multi-Agent Systems
• Agent Orchestration Frameworks
• Semantic Search
• Knowledge Graphs
• Good to Have
• Elasticsearch
• Financial Services Domain Experience
• Discretionary Annual Incentive.

None flagged.