Senior Software Developer, Applied AI
Core
Build infrastructure enabling teams to develop and use AI-powered workflows at scale, focusing on platforms, frameworks, connectors, and guardrails for agentic systems.
Role type
Senior IC platform engineer (agentic systems & AI infrastructure)
Builds
Agentic Software Development Lifecycle frameworks, connector layers (MCP servers), evaluation harnesses, and observability dashboards
Domain
Public-sector software / AI infrastructure
Deliverable
production ML models | infrastructure
Required skills
distributed systems, API design, CI/CD, cloud infrastructure, agent frameworks (LangGraph, Claude Code), MCP protocols, evaluation-driven development, context management, platform engineering mindset
Preferred skills
regulated environment experience, DevOps ownership, LLM cost optimization, model routing, fine-tuning trade-offs
Technologies
LangGraph, Claude Code, MCP, CI/CD pipelines, cloud platforms
Responsibilities
Design and evolve agentic SDLC frameworks; build and operate connector layers with strict permissions; develop evaluation harnesses and automated quality gates; instrument workflows for token consumption and latency tracking; implement guardrails for trustworthy AI; create self-service tools for non-technical users; partner with product managers on roadmap implementation
Seniority
Senior, hands-on IC