6+ years of professional software engineering experience
Strong hands-on experience with production systems
Proficient in Python and modern backend architectures
Experience with LLM-based systems
Ability to assess quality and operational risks
Customer-facing experience with complex technical challenges
Demonstrated high ownership and decision-making under pressure
Responsibilities
Own the end-to-end deployment of high-impact AI agents
Design and iterate on workflows, prompts, and integrations
Transform customer insights into reusable templates and playbooks
Collaborate with Product and Platform to refine the roadmap
Debug and enhance agent performance using structured evaluations
Lead technical reviews for agent design and deployment
Mentor team members and promote engineering excellence
Benefits
Hybrid work model with in-office days required
Well-funded startup with $72M raised in total
Opportunity to influence the future of AI in insurance
Dynamic, growth-focused company culture
Access to cutting-edge technology and innovative projects
Full Job Description
About the Role
As a Staff AI Agent Engineer, you are a force multiplier for customer deployments and agent quality. You own complex customer launches end to end and turn hard, bespoke problems into repeatable patterns. You operate with strong judgment, raise the engineering bar in the work, and reduce dependency on leadership by owning outcomes directly.
This role is hands-on, customer-facing, and deeply technical. You are not a solutions engineer. You are an engineer who ships. What You'll Do
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
What We're Looking For
Must Have
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
Nice to Have
Experience with agentic systems, eval frameworks, or AI observability
Prior work in B2B SaaS, enterprise software, or regulated environments
Experience turning bespoke solutions into reusable systems
