18 days ago
Responsibilities
- Own complex, high-impact agent deployments from design through production.
- Design, build, and iterate on agent workflows, prompts, evals, and integrations.
- Turn customer-specific learnings into reusable templates, playbooks, and patterns.
- Partner with Product and Platform to influence roadmap based on real-world usage.
- Debug and improve agent behavior using structured evals, monitoring, and analysis.
- Lead technical reviews for agent design, launch readiness, and post-launch quality.
- Mentor other Agent Engineers through example and direct coaching.
- Raise the bar on engineering quality, operational rigor, and reuse in deployments.
Requirements
- 6+ years of professional software engineering experience.
- Strong hands-on experience building and operating production systems.
- Fluency in Python and modern backend systems (APIs, services, cloud).
- Experience working with LLM-based systems, prompts, tools, or agent frameworks.
- Ability to reason about quality, failure modes, and operational risk.
- Comfort working directly with customers on technically complex problems.
- High ownership, good judgment, and the ability to operate under pressure.