Agentic AI Engineer
Builds production-ready agentic AI systems including runtimes, orchestration, reliability, observability, and integrations with LLMs/APIs. Requires strong backend experience, shipped agent/LLM systems, and production reliability expertise.
About the job
What You Will Do
- Build agent runtimes and orchestration systems (planning, tool use, memory, coordination)
- Make agents reliable (retries, failure handling, state management)
- Make agents observable (tracing, debugging, evaluation)
- Make agents cheap (cost-aware execution, performance optimization)
- Make agents useful in production (not demos - real systems people depend on)
- Integrate LLMs, APIs, and external data into coherent, working systems
- Define how developers build, debug, and extend agent behavior
What You’ll Bring
Strong Signals
- You’ve shipped real systems that people depend on
- You’ve taken ambiguous problems and turned them into working products
- You’ve built or deeply explored agent systems, LLM pipelines, or automation beyond simple demos
- You understand system behavior in production - failure modes, tradeoffs, reliability
- You move fast and iterate - you don’t wait for perfect specs
Technical Foundation
- Strong backend / systems experience (distributed systems, APIs, infrastructure)
- Proficiency in at least one core language (Python, Go, TypeScript, Rust, etc.)
- Experience with reliability patterns (state, retries, observability)
- Comfort working across the stack when needed
Nice To Have
- Experience with agent frameworks (LangChain, AutoGen, CrewAI, or custom systems)
- Experience building multi-agent or orchestration systems
- Familiarity with LLM evaluation, prompting, or performance tuning
- Experience with workflow engines (Temporal, Airflow, Dagster)
- Experience building developer platforms, SDKs, or internal tools
- Exposure to retrieval systems, vector databases, or memory architectures
- Interest in crypto, distributed systems, or verifiable compute
Compensation
Target salary range: $187,000 - $253,000. Competitive salary and non-cash compensation (tokens and equity). World class benefits package (medical/dental/vision), remote work setup stipend, flexible hours, flexible time off, 401(k) + match, monthly wellness benefit, yearly off-sites, paid parental leave.
Skills
Python, Go, TypeScript, Rust, LLMs, LangChain, Autogen, Crewai, Temporal, Airflow, Dagster, Distributed Systems, APIs
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