TL;DR
Senior AI Software Engineer (AI): Building AI-powered tools, integrations, and automated workflows to increase company efficiency with an accent on making company data available to AI systems and enabling non-engineers to build with AI. Focus on solving real problems, delivering measurable impact, and working with emerging AI tooling like LLMs and workflow orchestration.
Location: Hybrid in London, UK (work from home Monday and Friday)
Company
hirify.global builds technology to help people get credit and save money, having rebuilt consumer finance products like loans, credit cards, and car finance from scratch, targeting the UK and US markets.
What you will do
- Create connectors and integrations to make company data available to AI systems (Google Workspace, Slack, Jira, GitHub, Snowflake, Confluence).
- Build and maintain knowledge base pipelines, MCP integrations, and API connections powering AI tooling.
- Work with security and data governance requirements for integrations.
- Support internal teams in creating their own AI-powered data sources and automated workflows.
- Build templates, guardrails, and building blocks for non-engineers to experiment safely.
- Contribute to the internal automation platform using AWS Bedrock, n8n, and custom solutions.
- Identify high-leverage opportunities, ship quickly, measure outcomes, and iterate.
- Stay curious about emerging tools and techniques, applying them where impactful.
Requirements
- 4+ years of software engineering experience
- Strong full-stack skills in Python or TypeScript
- Experience shipping containerised software to Kubernetes
- Proven experience building AI tooling used by others in a commercial environment
- Comfortable working with LLMs, embeddings, and AI application patterns
- Experience designing and building API integrations
- Self-starter who takes ownership end-to-end
- Motivated by impact, wanting to see work make a difference
- English: B2 required
- Must be based in London, UK, for hybrid work model
Nice to have
- Experience with workflow automation tools (n8n, Zapier, Make or similar).
- Familiarity with vector databases (Pinecone, Weaviate, pgvector).
- Experience with AWS Bedrock or other LLM provider APIs.
- Knowledge of MCP (Model Context Protocol).
- Frontend skills with Next.js or React for internal tooling.
Culture & Benefits
- Hybrid work model with work from home every Monday and Friday.
- In-house chefs prepare fresh, healthy lunches in the office Tuesday-Thursday.
- Private health insurance coverage.
- Opportunity to scale up one of the world’s most successful fintech companies.
- Best-in-class compensation, including equity.
- High leverage and real ownership in a small team with fast decisions.
- Building a platform from the ground up, shaping how AI is used across hirify.global.
- Work at the frontier of AI tooling, including agentic AI and LLM tooling.
Hiring process
- Screening call with Hiring Manager.
- Take-home task.
- Technical interview based on the task.
- Final interview.
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