greenhouse
Senior Applied AI Software Engineer
MediaAlpha
Bellevue, USA
Full-time
Senior · 5+ years experience
Hybrid
USD 150000-210000 yearly / year
Discovered 1 weeks ago
MCPModel Context ProtocolRAGSQLAPIsAWS
Free
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MCPModel Context ProtocolRAG
Role Overview
As a Senior Applied AI Engineer at MediaAlpha, you will be a key contributor building LLM-powered applications for our internal teams and ad serving platform. You will implement features end-to-end: integration, deployment, and operational health. You will work alongside engineering, product, and business stakeholders to deliver features that solve real business problems.
The ideal candidate is a strong software engineer with hands-on experience building LLM-powered features in production, who works well across organizational boundaries and improves the conditions of any area they are in. We are an intentionally small organization, designed for agility, speed, and workability.
Key Skills for This Role
MCPModel Context ProtocolRAGSQLAPIsAWS
Full Job Posting
Role Overview
As a Senior Applied AI Engineer at MediaAlpha, you will be a key contributor building LLM-powered applications for our internal teams and ad serving platform. You will implement features end-to-end: integration, deployment, and operational health. You will work alongside engineering, product, and business stakeholders to deliver features that solve real business problems.
The ideal candidate is a strong software engineer with hands-on experience building LLM-powered features in production, who works well across organizational boundaries and improves the conditions of any area they are in. We are an intentionally small organization, designed for agility, speed, and workability.
Responsibilities
- Own the full software development lifecycle of implementing LLM-powered features, from integration through production deployment and operational health.
- Design and build MCP (Model Context Protocol) servers that expose internal data and tools to LLM applications.
- Design, implement, and maintain retrieval-augmented generation (RAG) pipelines, including vector search, tool-use patterns, and multi-step agent workflows.
- Integrate LLM-based services into MediaAlpha's products, internal tools, and data ecosystem.
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