Senior AI Engineer
Core
Design, build, and maintain reusable AI capabilities, including models, tools, APIs, and platforms for internal operations and customer-facing products.
Role type
Senior individual contributor AI engineer (infrastructure & agentic systems)
Builds
AI infrastructure, autonomous/interactive agents, RAG systems, internal MCP server, evaluation frameworks, and guardrails
Domain
Ecommerce risk, fraud detection, AI engineering
Deliverable
production ML models
Required skills
Backend/server-side development, Python, cloud platforms (AWS/GCP/Azure), DevOps, AI-assisted coding tools, stakeholder management, organizational influence
Preferred skills
Agentic coding tools (Claude Code, Copilot CLI), Strands Agents, RAG architectures, Bedrock, MCP (Model Context Protocol), containerized environments
Technologies
Python, AWS, GCP, Azure, MCP, Bedrock, Strands Agents, RAG
Responsibilities
Design and build reusable AI capabilities; develop and maintain internal MCP server; create evaluation frameworks and AI guardrails; cultivate AI engineering practices; champion AI readiness; build and optimize RAG systems; own projects end-to-end; serve as a consultant for AI engineering; collaborate to accelerate AI adoption
Seniority
Senior, hands-on IC with organizational influence
