NEWPosted 2 hours ago

Job ID: JOB_ID_6714

Core Responsibilities

  • System Design & Scalability: Architect highly available, resilient microservices using .NET 8/9. Optimize for high throughput and low-latency inference.
  • 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 Modelling: 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

Keywords:

artificial intelligence machine learning database Illinois

Compensation & Location

Salary: $120,000 – $160,000 per year (Estimated)

Location: Chicago, IL

Recruiter / Company – Contact Information

Email: eena@whiztekcorp.com

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