Generative AI Engineer

This role will play a critical part in Tyndale's mission to harness data for advanced AI and Machine Learning applications. You will collaborate with data scientists, data engineers and business stakeholders to own the full lifecycle of our ML models and Generative AI applications. This role requires onsite work a minimum of 1 day per week, and 4 days per week remotely. Own the full lifecycle of classical ML and GenAI features from prototypes to production, including rapid POCs, automated tests, containerisation, and production deployment through our AWS pipeline. You will build retrieval-augmented generation services using vector stores, prompt-orchestration frameworks, and fine-tuning or supervised-RL when off-the-shelf LLMs fall short. Design, implement, and document REST / GraphQL / SSE endpoints (FastAPI or AWS Lambda) so other teams and external partners can consume models. Write and maintain Terraform / AWS CDK modules that one-click deploy training jobs, inference services, monitoring, and alerting. Define offline and online evaluation matrices, set up hallucination/bias checks, and wire metrics into Grafana/DataDog.