Senior AI Engineer (AI)

TL;DR

Senior AI Engineer (AI): Building AI-powered tools and automated workflows to increase company efficiency with an accent on integrating company data with AI systems and enabling internal teams. Focus on applying emerging AI techniques to solve real business problems and delivering measurable impact.

Location: Onsite in London, UK

Company

hirify.global is a fintech company, founded in 2014, that builds technology to provide credit and save money, having achieved unicorn status in 2021 and a £3.5bn valuation in 2022.

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 for AI tooling.
• Ensure integrations meet security and data governance requirements.
• Support internal teams in creating their own AI-powered data sources and automated workflows.
• Build templates, guardrails, and building blocks to enable safe experimentation for non-engineers.
• Identify high-leverage opportunities, ship quickly, measure outcomes, and iterate based on learnings.

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.

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

• See the direct impact of your work, with rapid shipping and learning cycles.
• Join a small, focused team with high leverage and real ownership.
• Opportunity to build a new platform from the ground up, shaping how AI is used.
• Work at the frontier of AI tooling with the latest agentic AI, workflow orchestration, and LLM technologies.
• Best-in-class compensation, including equity.
• Private health insurance.
• Inclusive and open workspace in London.

Hiring process

• Screening call with Hiring Manager.
• Take-home task.
• Technical interview based on the task.
• Final interview.