Engineering Lead - Agents
Redwood City$150k - $1000kFull-timePosted 1w ago
About the role
Engineering Lead to drive technical direction and execution of the Software Factory agent, balancing hands-on coding with building and scaling an exceptional engineering team.
Responsibilities
- Technical Direction: Own agent architecture across multi-agent orchestration, agent harnesses, prompt and context design, retrieval-augmented generation (RAG), memory, tools, and execution environments. Lead architecture reviews and make tradeoffs between capability, complexity, latency, and cost.
- Prioritization and Execution: Work with product management on agent capabilities and user experience, then own engineering delivery. Translate the shared roadmap into technical plans, milestones, and dependencies; focus the team on the highest-impact work and remove blockers.
- Hands-on Engineering: Regularly write and ship production code, lead code reviews, and solve difficult technical problems alongside engineers. Build capabilities for reasoning about code, working across repositories and development tools, and interacting with browsers and computer environments.
- Engineering Leadership and Mentorship: Develop engineers' technical judgment, help recruit exceptional talent, and establish effective planning and review practices. Clarify ownership, resolve technical disagreements, and build a team that coordinates well and takes accountability for outcomes.
- Production Performance: Make agent behavior observable and debuggable, with reliable recovery and escalation when tasks fail. Use production traces, experiments, and customer feedback to improve task completion, output quality, reliability, latency, and cost. Make progress and tradeoffs visible to leadership.
- Safe Deployment: Partner with security and infrastructure engineers on permissions, sandboxing, data boundaries, and controls for deploying and operating agents in production.
Qualifications
- A record of shipping production agents with sustained, high-volume usage and measurable customer impact.
- Deep practical expertise in LLM-based agent systems, including orchestration, context engineering, tool integration, memory, model selection, and evaluation.
- Strong software engineering fundamentals and demonstrated ability to build, debug, and operate complex production systems.
- Evidence of technical leadership and mentorship that improved other engineers' work. You communicate clearly, exercise sound judgment under ambiguity, and work effectively with product and engineering partners.
Skills
Required:Production-grade software engineeringLLM-based agent systems
Benefits
- stock and/or stock option awards
- benefits (medical, dental, vision, 401K, …) as part of compensation package
Last updated Oct 13, 2026. Interested? Apply on the company site.
About 8090
The AI-native software factory for regulated enterprises.
8090 is the AI-native software development platform that keeps business leaders in the driver's seat. From spec to deploy with quality, control, and consistency at every step.
Software FactoryEnterpriseAI-nativeSDLCdocumentationcollaborationoversightregulated industries
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