Senior Software Engineer, APOLITICAL
New Yesterday
1 week ago Be among the first 25 applicants
- Reporting to: Staff or Senior engineer in one of our product squads.
- Visa sponsorship: Unfortunately, we are unable to offer visa sponsorship for this role. Applicants should have the right to work in the UK at the time of application.
- Background checks: Due to the nature of the work we do with global governments and partners, all employees need to pass background checks, verifying your identity, education (if relevant), work history, sanctions, criminal record, adverse financial history and right to work.
- You can expect to hear from us, no matter the outcome, by: 15th August 2025
- Salary expectations: We aim for transparency on salary bands. If our range is misaligned with your expectations, we’d welcome an open conversation as early as possible.
Overview
- Start date: ASAP
- Reporting to: Staff or Senior engineer in one of our product squads.
- Visa sponsorship: Unfortunately, we are unable to offer visa sponsorship for this role. Applicants should have the right to work in the UK at the time of application.
- Background checks: Due to the nature of the work we do with global governments and partners, all employees need to pass background checks, verifying your identity, education (if relevant), work history, sanctions, criminal record, adverse financial history and right to work.
- You can expect to hear from us, no matter the outcome, by: 15th August 2025
- Salary expectations: We aim for transparency on salary bands. If our range is misaligned with your expectations, we’d welcome an open conversation as early as possible.
Apolitical’s platform helps 250k+ public servants share knowledge and solve problems faster. Our engineering team ships a modern mono‑repo (Nx, PNPM) using React/Next.js, Node/NestJS, PostgreSQL and Kubernetes on GCP. We are expanding the squad with a senior engineer who can deliver robust product features and help us responsibly weave AI (LLMs, RAG) into the user experience—alongside peers who already experiment with Pinecone, LangChain and VertexAI.
As a senior full‑stack engineer you will design, build and operate user‑facing features end‑to‑end—UI components, APIs, data models and infra—while mentoring teammates and shaping architecture. Roughly 70–80% of your time will focus on core product work; the remaining capacity goes to advancing AI‑enabled features (vector search, content recommendations, conversational agents) in partnership with product and data science.
Success is measured by your ability to:
- Ship reliable, maintainable code across the stack that meets performance & accessibility targets.
- Increase squad velocity through sound architectural decisions, clear documentation and code reviews.
- Coach mid‑level engineers and foster a culture of high standards and continuous learning.
- Deliver incremental AI capabilities that demonstrably improve user outcomes and are cost‑effective.
- Feature delivery – Build and test new product features front‑to‑back using React/Next.js, NestJS and PostgreSQL.
- Architecture stewardship – Drive RFCs, enforce TypeScript standards, improve CI/CD and observability.
- AI integration (as needed) – Prototype and productionise LLM/RAG components (VertexAI, Pinecone, LangChain) when they add clear value; own evaluation metrics and cost monitoring.
- Quality & performance – Champion automated testing, accessibility and web‑performance budgets.
- Mentorship & collaboration – Pair program, run knowledge‑share sessions and provide thoughtful reviews.This role is exciting if you’re eager to grow technically and professionally in a supportive, pragmatic team. You’ll be empowered to own code, propose improvements and understand how your work impacts our users.
- Writing TypeScript daily—UI, server‑side APIs, tests and DevOps scripts.
- Designing data models, API contracts and caching strategies.
- Investigating user issues, profiling performance and automating fixes.
- Exploring AI techniques (prompt design, retrieval strategies) as part of feature work.
- People‑managing (though you’ll influence broadly).
- Working exclusively on AI; most work is core product engineering.
Timelines may vary depending on individual onboarding and support needs, but we expect most team members to achieve the following milestones:
Within one month, you will…
- Ship a non‑trivial PR to production.
- Complete onboarding to mono‑repo, CI and infra.
- Pair with peers to understand existing AI components.
- Lead delivery of a full‑stack feature from spec to prod.
- Introduce an architecture improvement (e.g. caching, DX, test coverage).
- Contribute to an AI experiment or refactor an existing RAG flow for reliability.
- Act as go‑to engineer for a product surface (e.g. search, notifications, AI helpers).
- Mentor at least one other engineers.
- Write an RFC proposal balancing core product and AI enhancements, with metrics.
This is a great fit if you…
- Have 6+years building production web apps (React + Node) with strong testing and TypeScript skills.
- Enjoy end‑to‑end ownership—UI polish, API design, data modelling and deployment.
- Are curious about LLMs/agentic workflows and have tinkered or shipped small features already.
- Value pragmatic solutions, measurable impact and clean, maintainable code.
- Are comfortable with GDPR, ISO27001 and privacy‑by‑design principles.
- Experience integrating LLM services (VertexAI, OpenAI) and vector DBs (Pinecone).
- Implemented feature flagging & A/B experimentation.
- Worked on accessibility, localisation or performance‑critical projects.
- Background in information retrieval or search relevance.
- Need extensive structure or a narrow, fixed role.
- Are not flexible with regards to working on frontend vs. backend.
- Are looking for big-tech company, fixed processes, or large teams.
- Have a minimal interest in coding to high production standards.
- Minimal interest in team collaboration and knowledge sharing.
- Prefer novelty over practicality in technical decision making.
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