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docker python kubernetes fastapi rag📋 Description
- Lead design and production of AI services using public LLMs.
- Own end-to-end AI features from prototype to production-grade.
- Work in a regulated financial services environment.
- Mentor engineers and collaborate with data, product, compliance teams.
🎯 Requirements
- 5+ years software engineering; Python in production (FastAPI/Starlette).
- Experience building AI services with public LLM APIs, prompts, LangChain, LlamaIndex, and RAG.
- LLM fundamentals: tokens, context windows, embeddings, vector search, evaluation.
- Cloud-native infra on AWS/Azure/GCP; serverless, containers, storage, networking.
- Experience in regulated financial services/insurance fintech with governance.
- Data engineering: SQL, Parquet/Arrow, ETL/ELT, Airflow/Prefect.
🎁 Benefits
- Health Insurance via AXA, mental health support via Spill.
- Life Insurance and income protection up to 36 months.
- Pension via Royal London; 8% employer, 4% employee.
- 25 days leave + holidays, volunteering time, wellness day.
- Annual learning budget via Learnerbly.
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