F

Factory

Agent-native development platform automating lifecycle

Software Engineer - Federal

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 2 years of hands-on software engineering experience after acquiring a Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related technical field.
  • Demonstrated proficiency with large language models and a track record of applying artificial intelligence and machine learning techniques to solve complex, unstructured problems, ideally in software engineering or related areas.
  • Ability to navigate ambiguous projects from conception through impactful deployment, ideally on a founding team, new initiative, or forward-deployed engineering group.
  • Ability to explain technical concepts and strategies clearly to audiences at all levels, including non-technical government stakeholders.
  • Comfort working directly with customers, including time on-site at customer locations.
  • Passion for public sector work and belief in government's potential to deliver better outcomes through technology.

Responsibilities

  • Design, develop, and deploy artificial-intelligence-driven agentic systems that enhance Factory's core AI capabilities for federal missions.
  • Deploy and harden the Factory Platform in secure government environments, including GovCloud, on-premises, classified, and fully air-gapped networks, with limited or no internet connectivity and self-hosted or government-approved models.
  • Build security and compliance into shipped products, partnering with Security and Infrastructure to achieve and maintain authorizations such as FedRAMP High and DoD Impact Levels IL5 and IL6, including access controls, audit logging, and continuous monitoring.
  • Build multi-layered guardrails, observability, and explainability into agents so government users can trust, audit, and understand agent outputs.
  • Engage directly with federal customers, on-site when needed, to understand missions and workflows, define requirements with stakeholders, and own delivery from first prototype to accepted production deployment.
  • Integrate Factory with tools used by government engineering teams, including on-premises source control, continuous integration and continuous delivery pipelines, ticketing systems, and DoD software factories.
  • Work with product, engineering, and Federal go-to-market teams to integrate emerging AI research findings into practical, mission-focused solutions.
  • Iteratively prototype and refine AI functionalities based on real-world feedback to meet the evolving needs of government developers and program offices.
  • Identify and address product stability and scalability challenges so the Factory Platform reliably supports large-scale operational demands in high-consequence and resource-constrained environments.
  • Lead exploration and integration of large-scale data processing techniques to improve the reliability and effectiveness of AI systems.
  • Represent the federal customer by bringing field insights into Factory's core platform so capabilities built for one mission can be reused across the public sector.
  • Help build the Federal team from the ground up, partnering with leadership on technical proposals, capture strategy, and the public sector product roadmap.

Desired Qualifications

  • Experience deploying software in regulated or secure environments, such as AWS GovCloud, Azure Government, FedRAMP, DoD Impact Levels, or classified and air-gapped networks.
  • Familiarity with government work and its complexities, including procurement, compliance, and the authorization to operate process.
  • Experience with data-intensive applications and familiarity with the software development lifecycle.

About the Company

Factory

Agent-native development platform automating lifecycle

Factory builds an enterprise software platform that automates the full software lifecycle using autonomous agents called Droids. These Droids handle planning, coding, testing, deployment and documentation inside existing developer workflows (IDEs, CLIs, and CI/CD pipelines). The product works by integrating into current toolchains and routing work through a governed, end-to-end software factory that tracks Agent Effectiveness and supports deployments across cloud, on‑premises, and air‑gapped environments. Factory sets itself apart by offering a single, managed software factory rather than a collection of separate coding agents, and by tying together model routing, governance, and cross‑environment deployments for large organizations. Its goal is to scale research, product development, and global go‑to‑market efforts to help enterprise customers automate and streamline the entire software creation process.

Company size
501-1,000
Company stage
Series C
Total funding
$420M
Headquarters
San Francisco, CA
Founded
2023

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