1 day ago
Remote, United StatesMid Level
H1B sponsor
Responsibilities
- Design, develop, and deploy AI-driven agentic systems that enhance Factory’s core AI capabilities for federal missions.
- Deploy and harden the Factory Platform in GovCloud, on-premises, classified, and fully air-gapped environments using self-hosted or government-approved models.
- Build security, compliance, guardrails, observability, and explainability into shipped systems, including support for FedRAMP High and DoD Impact Levels IL5/IL6.
- Work directly with federal customers and stakeholders to define requirements and own delivery from prototype through accepted production deployment.
- Integrate Factory with government engineering tools, source control, CI/CD pipelines, ticketing systems, and DoD software factories.
- Identify product stability and scalability challenges and lead exploration of large-scale data processing techniques.
- Bring federal customer insights into the core platform and contribute to technical proposals, capture strategy, and the public-sector product roadmap.
Requirements
- At least 2 years of hands-on software engineering experience after obtaining a bachelor’s or master’s degree in Computer Science, Engineering, AI, or a related technical field.
- Demonstrated proficiency with LLMs and experience applying AI/ML techniques to complex, unstructured problems.
- Ability to navigate ambiguous projects from conception through impactful deployment, ideally in a founding, new-initiative, or forward-deployed engineering setting.
- Strong communication skills for explaining technical concepts and strategies to technical and non-technical government stakeholders.
- Willingness to work directly with customers, including on-site customer visits.
- Experience deploying software in regulated or secure environments such as AWS GovCloud, Azure Government, FedRAMP, DoD Impact Levels, classified networks, or air-gapped networks is highly desirable.
- Familiarity with government procurement, compliance, and the accreditation/ATO process is a plus.
- Experience with data-intensive applications and familiarity with the software development lifecycle are highly desirable.
Benefits
- Location flexibility is offered, with a preference for candidates based in San Francisco, California, or Washington, D.C. (remote).
- The role may require on-site work at customer locations.
Categories
AI ApplicationsForward Deployed
About Factory
Factory builds AI agents, called Droids, that bring autonomy to software engineering by automating development workflows for modern engineering organizations. It sells enterprise software and services to help teams evaluate, adopt, and operate these agents within existing tooling and processes. The company is headquartered in San Francisco and is backed by investors including Sequoia Capital and Lux Capital.