Applied AI Engineer
Core
Build AI agents, automations, and platform capabilities to eliminate manual, repetitive work across the company's internal teams.
Role type
Applied AI Engineer (Internal Operations)
Builds
AI agents, MCP connectors, evaluation harnesses, and shared AI Agents platform
Domain
Internal Operations / AI Engineering
Deliverable
production ML models | product features
Required skills
Python, LLMs (Anthropic/OpenAI), prompt engineering, context management, tool use, debugging at scale, structured evaluation pipelines, regression detection
Preferred skills
agentic frameworks (LangChain, CrewAI), MCP servers, RAG pipelines, vector databases, hybrid search, AI observability
Technologies
Python, Anthropic, OpenAI, LangChain, CrewAI, MCP, Langfuse, OpenTelemetry
Responsibilities
Embed with internal teams to map workflows and identify bottlenecks; Scope, prototype, and ship AI agents and automations; Own agents end-to-end (monitor quality, triage failures, iterate); Design and build the shared AI Agents platform; Build evaluation harnesses to measure agent quality; Author and maintain MCP connectors
Seniority
Mid-level, hands-on IC
