GoldFern
Full Stack Engineer - Government AI Unit
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Senior Full Stack Engineer
We're recruiting a senior Full Stack Engineer for a Government AI unit that's building and shipping AI-native products used directly by front-line teams across the sector. This will require full personal ownership of shipping an AI product end to end, delivering a real, tangible result for users, with security and production reliability considered throughout.
You'll build and own full-stack features yourself - frontend and backend both, not one side handed off to someone else - integrating AI capability into a live product and carrying it through to a measurable outcome. It's a fast-moving team with real scope to shape how things get built, not just execute a fixed spec.
Role responsibilities
- Building and shipping full-stack features into live production, owning frontend and backend personally rather than one side alone
- Integrating AI capability - LLM-powered workflows, speech-to-text, document generation - into real product features
- Designing and evolving the database layer: schema design, migrations, data integrity
- Handling API and auth integration end to end
- Working closely with non-technical, operational stakeholders to translate real problems into shipped features
- Iterating fast while treating security and reliability as part of the same piece of work, not an afterthought
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Person requirements
- Strong production experience across a modern frontend framework and a Python backend, with genuine personal ownership of both sides - not frontend-only or backend-only work dressed up as full stack
- Hands-on experience shipping AI-native features into production with a measurable, tangible outcome for users, not just familiarity with the underlying tools
- Solid database skills: schema design, migrations, working with relational data at production scale
- Experience with API design and auth integration
- Comfortable working directly with non-technical stakeholders and adapting to changing requirements
- Version control and CI/CD as second nature
- A fast, iterative shipping style that still builds in security and reliability from the outset
Desirable
- LLM feature-building experience: prompt engineering, structured outputs, multi-provider routing, retrieval-augmented generation
- Experience with LLM observability tooling
- Cloud infrastructure-as-code experience (Terraform or equivalent) on a major cloud provider
- Speech-to-text or audio pipeline experience
- Experience designing safeguards for AI systems - prompt-injection defences, least-privilege access, human approval points, auditable decision trails
- An entrepreneurial or startup mentality
- Genuinely current on what's happening in AI
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This role will be inside IR35 and is being run exclusively through Goldfern. If this sounds like you, or someone in your network, get in touch with me for a confidential conversation - happy to share fuller detail once we've spoken and the above criteria has been met. If the above can be fully evidenced and demonstrated, a conversation with the stakeholder can happen this week and a prompt start will be required. Whilst you do not need to hold SC clearance, you will gain this on assignment and be able to start with basic DBS checks and references/right to work etc.
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