4 months ago
Responsibilities
- Own complex, high-impact AI agent deployments from design through production.
- Design, build, and iterate on agent workflows, prompts, evaluations, and integrations.
- Convert customer-specific learnings into reusable templates, playbooks, and patterns.
- Partner with Product and Platform to influence the roadmap based on real-world usage.
- Debug and improve agent behavior using structured evaluations, monitoring, and analysis.
- Lead technical reviews for agent design, launch readiness, and post-launch quality.
- Mentor other Agent Engineers through direct coaching and example.
- Improve engineering quality, operational rigor, and reuse across 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, including APIs, services, and cloud environments.
- 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.
- Experience with agentic systems, evaluation frameworks, or AI observability is preferred.
- Prior experience in B2B SaaS, enterprise software, or regulated environments is preferred.
- Experience turning bespoke solutions into reusable systems is preferred.
Benefits
- Hybrid work arrangement in Boston or San Francisco (Berkeley), with 2 days per week in the office.
Tech Stack
Categories
About Liberate
Comprehensive AI Platform for Carriers, Agencies and Brokers Liberate enables you to provide human-like conversation that offers 24/7 support and answers 100% of calls with no wait time. Deliver 5-star service, every time.