About the role

  • AI Platform Engineer at Homeprotect designing and deploying AI-first products. Focused on building robust AI agents for insurance claim handling on GCP.

Responsibilities

  • Design, build and operate AI‑first products that deliver measurable value, shaping roadmaps with the Head of AI and AI Product Manager.
  • Develop and deploy production‑grade AI agents for end‑to‑end claims handling on GCP using Google’s ADK; integrate securely with policy/claims/CRM systems via REST/JSON APIs.
  • Create and run agent evaluation and monitoring: offline/online tests, accuracy/completeness/safety metrics, A/B experiments, cost/latency dashboards.
  • Integrate AI agent functionality with applications via MCP servers. Build and configure tools to ensure reliable application integration.
  • Build robust RAG pipelines and ingestion: text normalisation, chunking, metadata/ACL propagation; vector search in GCP.
  • Embed security and compliance (GDPR, PII redaction, secrets, RBAC/IAM, audit trails); document/demonstrate solutions with Claims Ops; support go‑live and BAU.

Requirements

  • Strong Python for backend services/SDKs; REST/JSON APIs, auth (OAuth2/service accounts), testing (pytest), async and resilience patterns.
  • Hands‑on with LLMs/embeddings (OpenAI, Gemini, Llama, Claude), prompt and tool/function calling, RAG design; vector databases.
  • GCP expertise: Vertex AI, Model Garden, BigQuery, Cloud Run/Cloud Functions; practical experience with Google’s ADK.
  • Document/data handling: Apache Tika, text normalisation, chunking/dedup; metadata/ACL propagation; storage/caching with Postgres, Redis, GCS/BigQuery.
  • DevOps and quality: Git best practices, CI/CD (Azure DevOps), Docker/container security, automated tests; observability, evaluation and A/B testing.
  • Security/compliance and product mindset: GDPR, secrets management, RBAC/IAM, auditability; define success metrics and translate stakeholder needs into intuitive AI workflows.

Benefits

  • A genuinely flexible approach to work. We are really supportive of you flexing your hours and location to help you keep everything in your life in balance.
  • Opportunities to focus on your professional growth whether that’s through training or other personal development opportunities - we want you to build your long-term career with us.
  • Discount of 50% and 15% for friends and family when you choose to take out a home insurance policy with us.
  • An in-house wellbeing programme including seminars and workshops from wellbeing coaches and professionals.
  • Home working starter kit and money to spend on additional equipment you may need.
  • Charitable giving scheme, so you can donate to our partner charity, or one of your choices.
  • The opportunity to work alongside brilliant people, because this isn’t something that every organisation can offer!
  • 25 days’ holiday (plus bank holidays) and the ability to buy and sell >5 days annually.
  • Private medical cover for all employees
  • Life insurance
  • Annual discretionary bonus scheme
  • Pension contribution
  • Free fruit and really good coffee for the days you come into the office.
  • Local and national retail discounts

Job title

AI Platform Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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