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8090 Solutions

AI-native platform orchestrating enterprise SDLC

Full Stack Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-time$150k - $1M /yr

About the Job

Requirements

  • Extensive professional experience and expertise in full-stack web development.
  • Experience with Python, TypeScript, React, data structures, and AWS.
  • Ability to own problems end-to-end and quickly acquire missing knowledge to complete the work.
  • Ability to collaborate and communicate solutions effectively with internal colleagues and customer stakeholders.
  • Candidates must provide documentation establishing employment eligibility in the United States and satisfactory proof of identity as required by U.S. law.
  • Candidates must satisfactorily complete a credit and/or criminal background check.

Responsibilities

  • Build customer solutions with Software Factory and help develop parts of Software Factory itself.
  • Own the complete lifecycle of created software, including development, testing, operation, maintenance, and support.
  • Evaluate how software paradigms evolve with advances in AI and use AI tools to improve individual practices and team productivity.

Desired Qualifications

  • Deep expertise in data engineering, machine learning engineering, or data science, such as integrating large language models into products, fine-tuning models, creating evaluations, or hosting AI/machine-learning infrastructure at scale.
  • Professional work experience in DevOps, security, and cloud infrastructure, including GitHub Actions, Docker, and AWS CDK.

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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