Generative AI Engineer
- Posted 28 August 2025
- LocationCambridge
- Job type Contract
- Discipline Technology
Job description
Job Description
Agent Design & Delivery: Architect and implement production-ready AI agents that integrate with enterprise platforms (SAP, Salesforce, ServiceNow, CI/CD, Databricks), with human-in-the-loop controls, observability, and auditability.
Hybrid Skillset: Strong grounding in traditional machine learning and data workflows (forecasting, scoring models, risk detection, NLP etc) alongside Gen AI/LLM-based architectures. Able to select the right approach (ML vs LLM vs hybrid) for each problem. Expertise across RAG also, and experience with RPA/automation for understanding/awareness
Security & Risk by Design:
Deep understanding of Gen AI risks, including prompt injection, data leakage, model misuse, and adversarial attacks.
Build transparent, auditable solutions with traceability of agent decisions and data lineage.
Apply threat modelling and compliance thinking from the start, not as an afterthought.
Enterprise Engineering: Hands on experience in building data pipelines, secure API integrations, and scaling MVPs into stable, reusable services.
Translational Ability: Can communicate effectively across technical and business domains, ensuring solutions align to ROI and strategy.
Apply now!