AI Engineer

• Build and maintain backend services using Azure Functions, Semantic Kernel, LangChain/LangGraph/AutoGen/CrewAI.
• Develop APIs to orchestrate LLM workflows, manage state, and support chat and analytics front ends.
• Implement multi-agent pipelines with planning, reasoning, and execution flows.
• Design and manage RAG pipelines (chunking, embedding, indexing, hybrid retrieval) and extend retrieval with GraphRAG and entity-driven reasoning.
• Build ingestion pipelines to validate, clean, and test data before adding it to the AI knowledge layer; integrate data from CosmosDB, Dataverse, APIs, Azure Cognitive Search, SharePoint, and other enterprise sources.
• Create automated evaluation methods for retrieval accuracy, hallucination, and dataset quality.
• Collaborate with front-end engineers to define API contracts, payloads, session flows; provide reusable backend services, SDKs, and documentation aligned with React/Next.js and shadcn frameworks.
• Implement telemetry, logging, and metrics (OpenTelemetry, Prometheus, Grafana); enforce RBAC, compliance, data masking/sanitization/lineage; optimize performance, latency, and token usage with robust error handling and scalable design.

Senior AI Engineer

AI Engineer

Senior AI Engineer

AI Engineer Intern, Summer 2026

Computer Vision AI Engineer

Product Manager – Conversational AI Platform