• Agentic Orchestration: Design multi-agent teams and workflows (planning, execution,
• and review) to tackle large-scale technical features and bug fixes autonomously.
• Context & Skill Engineering: Build reusable SOPs, memory loops, and CLAUDE.md files
• so the AI retains historical knowledge and project constraints.
• Security & Guardrails: Establish strict permission boundaries, sandbox isolation, and
• validation checks to allow AI agents to confidently read, write, and test code.
• Tool Integration: Connect Claude Code with internal APIs, databases, and CI/CD
• systems using the Model Context Protocol (MCP).
• Performance Evals: Monitor and optimize system performance, balancing the trade-offs
• between agent intelligence, token costs, and execution speed. 
• Collaborate with cross-functional teams
• Ensure compliance with ISO 27001, SOC 1, SOC 2 frameworks

What You Bring:

•  Experience: 5+ years of software engineering experience with at least 1-2 years in
• building AI-assisted pipelines, agentic workflows, or LLM-driven applications.
•  Claude/AI Expertise: Hands-on proficiency with Claude Code or comparable CLI and
• IDE agentic environments.
•  Infrastructure Knowledge: Deep familiarity with Python or Go, CI/CD pipelines, and
• writing test harnesses that agents can reliably run and evaluate.
•  Systems Thinking: Strong intuition for breaking down complex software architectures
  • into sequential, deterministic tasks that AI can easily interpret.