Senior AI Platform Engineer — Agent Environments & Training Data

Generative; Greater London; Hybrid; GBP 100,000 - 240,000; Full time

Benefits offered by this job

Equity stake

Job summary

Generative is seeking a Senior/Staff/Principal AI Engineer for the AI Platform to own the end-to-end research-engineering lifecycle, from question to production impact. You will design training data workflows, supervise model fine-tuning (including RL and harness optimisation), build evaluation loops, and collaborate with software engineers to ship robust, observable systems.

Hybrid work with two onsite days.

Qualifications

• Senior, Staff or Principal-level AI/ML researcher with hands-on technical ability.
• Experience fine-tuning or post-training models, not just APIs.
• Strong understanding of AI/ML fundamentals including training, optimisation and evaluation.
• Practical knowledge of supervised fine-tuning, reinforcement learning, RLHF or related post-training methods.
• Strong Python and software-engineering depth to write clean, testable code.
• Proven ownership of meaningful technical outcomes across research, data and engineering trade-offs.
• Experience with agents, agent harnesses, sandboxed environments, evaluation infrastructure or synthetic-data workflows is highly valued.

Responsibilities

• Own difficult AI and research-engineering problems from initial question through experiment, implementation and production impact.
• Design approaches for creating, curating and improving high-quality training data, fine-tuning and post-training models.
• Build evaluation and feedback loops that make model and agent performance measurable and continuously improvable.
• Define technical roadmaps for major areas, set direction across agents, evaluation, training data and model improvement.

Skills

Python

AI/ML fundamentals

Fine-tuning / post-training

Experimentation

Code quality / testing

Tools

Sandboxed environments

Evaluation infrastructure

Synthetic-data workflows

Job description

Generative is seeking a Senior/Staff/Principal AI Engineer for the AI Platform to own the end-to-end research-engineering lifecycle, from question to production impact. You will design training data workflows, supervise model fine-tuning (including RL and harness optimisation), build evaluation loops, and collaborate with software engineers to ship robust, observable systems.

Hybrid work with two onsite days.