Software Engineer - Gen AI
Quick Summary
About Nava Nava is a consultancy and public benefit corporation working to make government services simple and effective. Since 2015, federal, state,
Nava is seeking a full-stack application engineer to help us experiment with how generative AI can accelerate the delivery of digital government services. You’ll build proofs-of-concept and internal tools that combine GenAI capabilities with our open platform tooling. This is not a GenAI expert role—this is a role for someone excited to figure things out in a fast-moving space.
Responsibilities
~1 min read- →Develop tools that leverage generative AI along with our technology solutions to assemble functional demos of government digital services for a variety of government programs
- →Design and implement example applications using our open source platforms that can be demonstrated to potential clients in bids and conferences
- →Support project teams in using our platforms and iterate based on their feedback
- Proven ability to rapidly build and ship full end-to-end applications from scratch—frontend, backend, and integration
- Ability to work independently to turn loose ideas into functional software
- Comfort with developing MVPs quickly, rapid iterations, prototyping, and exploratory development
- Fluent in Python or TypeScript
- Experience building full-stack applications using web frameworks (for example, TypeScript with Next.js, Python with Django, or Ruby on Rails)
- Strong knowledge of object-oriented design patterns and ability to design elegant object-oriented APIs for use by other developers
- Exposure to or interest in Domain-Driven Design (DDD) patterns.
- Experience using GenAI APIs, fine-tuning, prompt engineering, or evaluation frameworks is helpful but not required.
Requirements
~1 min readWhat We Offer
~2 min readLocation & Eligibility
Listing Details
- Posted
- May 29, 2026
- First seen
- May 29, 2026
- Last seen
- May 29, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 80%
- Scored at
- May 29, 2026
Signal breakdown
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