Engineering Lead - Agents

8090 Solutions; Redwood City (CA); On-site; USD 150,000 - 1,000,000; Full time

Job summary

8090 Solutions in the United States is seeking an Engineering Lead to steer the technical direction and execution of the Software Factory agent. This builder-leader role keeps you hands-on in code while shaping a high-performing engineering team to deliver dependable customer experiences.

You will oversee agent architecture, orchestration, memory, tools, and execution environments, partner with product management, and drive delivery with a focus on quality, latency, and cost.

Qualifications

• Must have shipped production agents with measurable customer impact.
• Expertise in LLM-based agent systems, orchestration, and tool integration.
• Strong coding, debugging, and operating complex production systems.
• Proven technical leadership and mentoring ability.

Responsibilities

• Technical Direction: Own agent architecture across multi-agent orchestration and tools.
• Prioritization and Execution: translate roadmap into technical plans and milestones.
• Engineering Leadership: recruit, mentor, and establish planning practices.
• Production Performance: observability, recovery, and optimization of latency and cost.
• Safe Deployment: collaborate on permissions and sandboxing for production.

Skills

Agent systems

LLM orchestration

Software engineering

Leadership

Job description

About the Role

We are hiring an Engineering Lead to drive the technical direction and execution of the Software Factory agent. This is a builder-leader role combining deep agent expertise with the ability to build and scale an exceptional engineering team. You will stay hands-on in the code while working with product management to turn ambitious capabilities into dependable customer experiences.

Location

You will work in person five days a week from our Redwood City, CA office.

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.
• 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.

Required Skills

• A record of shipping production agents with sustained, high-volume usage and measurable customer impact. You can explain the decisions you owned, the failures you encountered, and the improvements you delivered.
• 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.

What Sets a Candidate Apart

• Experience deploying agents in enterprise environments with demanding security, isolation, or customer-specific deployment requirements.
• Familiarity with post-training and reinforcement learning, including judgment about when they can improve agent behavior.

Expected Compensation (US-based employees)

$150,000 - $1M annual salary + stock and/or stock option awards + benefits. We offer competitive pay and benefits. Compensation may vary depending on many individualized factors, including location, job-related knowledge, skills, and experience. Details of the compensation package, including benefits (medical, dental, vision, 401K, …), will be provided if and when a candidate receives an offer of employment.

Equal Opportunity Statement

8090 is an Equal Opportunity employer. All qualified applicants will be considered for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state, or local laws.

This position is only open to candidates who can provide sufficient documentation establishing employment eligibility in the United States of America and to provide satisfactory proof of your identity as required by U.S. law. A further condition of your employment is satisfactory completion of a credit and/or criminal background check.

We do not provide new work visa sponsorship.