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 AI Engineer (Platform & Infrastructure)
Builds
Reusable AI capabilities, internal MCP server, RAG systems, and evaluation frameworks/guardrails.
Domain
E-commerce fraud prevention and risk intelligence
Deliverable
production ML models | infrastructure
Required skills
Backend and server-side development, Python, public cloud platforms (AWS/GCP/Azure), DevOps, AI-assisted coding tools, stakeholder management, product-oriented thinking
Preferred skills
Agentic coding tools, Strands Agents, RAG architectures, Bedrock, MCP (Model Context Protocol), containerized environments
Technologies
Python, AWS, GCP, Azure, MCP, Bedrock, Strands Agents
Responsibilities
Design and build reusable AI capabilities; Develop and maintain internal MCP server; Create evaluation frameworks and AI guardrails; Build and optimize RAG systems; Champion AI readiness and track adoption; Collaborate with teams to accelerate AI adoption.
Seniority
Senior, hands-on IC with organizational influence