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8090 Solutions

AI-native platform orchestrating enterprise SDLC

Engineering Lead - Agents

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeRedwood City, CA, USA$150k - $1M /yr

About the Job

Requirements

  • A record of shipping production agents with sustained, high-volume usage and measurable customer impact, including the ability to explain owned decisions, encountered failures, and delivered improvements.
  • Deep practical expertise in large language model-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.
  • Ability to communicate clearly, exercise sound judgment under ambiguity, and work effectively with product and engineering partners.
  • Candidates must provide sufficient documentation establishing employment eligibility in the United States and satisfactory proof of identity as required by U.S. law.
  • Employment is conditional on satisfactory completion of a credit and/or criminal background check.

Responsibilities

  • Drive the technical direction and execution of the Software Factory agent while remaining hands-on in code and collaborating with product management to turn capabilities into dependable customer experiences.
  • Own agent architecture across multi-agent orchestration, agent harnesses, prompt and context design, retrieval-augmented generation, memory, tools, and execution environments; lead architecture reviews and make tradeoffs among capability, complexity, latency, and cost.
  • Work with product management on agent capabilities and user experience, own engineering delivery, translate the shared roadmap into technical plans, milestones, and dependencies, focus the team on high-impact work, and remove blockers.
  • 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.
  • Develop engineers' technical judgment, help recruit talent, establish effective planning and review practices, clarify ownership, resolve technical disagreements, and build a team that coordinates effectively and takes accountability for outcomes.
  • Make agent behavior observable and debuggable, ensure reliable recovery and escalation when tasks fail, and use production traces, experiments, and customer feedback to improve task completion, output quality, reliability, latency, and cost.
  • Make progress and tradeoffs visible to leadership.
  • Partner with security and infrastructure engineers on permissions, sandboxing, data boundaries, and controls for deploying and operating agents in production.

Desired Qualifications

  • Direct experience building coding agents or browser/computer-use agents that complete complex tasks across tools and environments.
  • 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.

About the Company

8090 Solutions

AI-native platform orchestrating enterprise SDLC

What it does: 8090 Solutions provides an AI-native software development platform called Software Factory that manages the entire software development lifecycle for enterprises. How it works: It orchestrates internal teams and AI agents in modules such as Refinery (requirements), Foundry (architecture decisions), Planner (AI task planning), and Validator (turning feedback into actions), all tied together by a central Knowledge Graph that links requirements, architecture, and implementation to produce production-ready software. How it differs: It offers end-to-end SDLC orchestration with AI agents, a focus on traceability and compliance, and enterprise governance through a shared Knowledge Graph, with proven enterprise adoption shown by EY’s partnership. Goal: To accelerate software delivery while improving control, quality, and visibility for heavily regulated industries by replacing fragmented documentation and tribal knowledge with a unified AI-assisted platform.

Company size
51-200
Company stage
Series A
Total funding
$135.3M
Headquarters
Menlo Park, CA
Founded
2024

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