Responsibilities
- Design, build, and maintain Generative AI services and applications in Python, from proof-of-concept to production.
- Design and implement robust AI solutions, integrating enterprise data, tools, and platforms securely to deliver reliable, scalable business outcomes.
- Implement safeguards, guardrails, monitoring, and governance for responsible AI usage.
- Collaborate with business teams to identify opportunities where Generative AI can deliver value.
- Stay ahead of emerging GenAI technologies and bring innovative approaches into practice.
Requirements
- Proven expertise in Generative AI: LLMs, agents, embeddings/rerankers, vector databases, and prompt design/evaluation.
- Strong software engineering fundamentals including developing in Python and experience with asynchronous frameworks (FastAPI), testing & mocking, and CI/CD.
- Strong data engineering & MLOps fundamentals including designing and querying relational (SQL) and NoSQL databases, feature stores, model/registry versioning, offline/online evaluation, and golden datasets.
- Experience with cloud platforms (AWS - preferred, Azure, or GCP) and containerisation (Docker, Kubernetes).
- Security, privacy, and compliance in enterprise settings; comfort working with sensitive data and regulated environments.
- A growth mindset: curiosity, experimentation, and the drive to turn ideas into robust, maintainable systems.
Nice to Have
- Experience with IaC (Terraform/CloudFormation)
Work Arrangement
Hybrid
Additional Information
- Applications close 24 July 2026.
