Gen AI Engineer

Job Title: AI Engineer

Location: Chicago, IL

Job Type: Hybrid (2 days/week in office)

Client: United Airlines

Core Responsibilities

• Event Driven Architecture: Good understanding of Event Driven Architecture , catering to both Real time and non - real time needs , using message brokers like Solace, SQS, Kafka, etc.
• Familiarity with AWS Serverless architecture.
• AI Orchestration & RAG Pipelines: Design the backend logic for Retrieval-Augmented Generation (RAG), managing the lifecycle of vector embeddings, data ingestion, and prompt templating.
• MCP Server Engineering: Develop and maintain high-performance MCP servers to standardize data access and tool-calling across multiple LLM providers.
• Advanced Data Modeling: Manage complex state transitions and data flows between relational databases (AWS Neptune - Graph Db), vector stores (OpenSearch), and distributed caches (Redis).
• API & Protocol Mastery: Define contract-first development standards using SSE and REST, ensuring seamless integration between backend AI services and external consumers

Nice to Have:

• Exposure to LangChain
• MCPSharp / ModelContextProtocol.SDK libraries
• ML.Net