Artificial Intelligence Engineer

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

Senior / Staff / Principal AI Engineer, AI Platform

About the company

This frontier AI company builds interactive, resettable digital environments where AI agents can explore software, complete tasks, learn from failure and improve through active experience. These environments generate the experiential data required to train increasingly capable AI systems.

Working at the intersection of software engineering, simulation infrastructure and AI, the company collaborates closely with leading AI laboratories and is building the platform needed to create and operate these environments at scale. Its mission is to help advance AI through higher-quality, real-world training experiences.

The culture is high-trust, low-bureaucracy and focused on curiosity, intellectual honesty, pragmatism and relentless execution. Team members are given meaningful autonomy, technical influence and responsibility in a fast-moving environment.

Responsibilities

As AI Engineer, AI Platform, you will join the Platform team (Research / AI Engineering), the non-delivery R&D side of the technical organisation, reporting directly to the CTO & Co-Founder. This is a hands-on individual-contributor role at every level, keeping you close to code, experiments and technical decisions.

You will own difficult AI and research-engineering problems from initial question through experiment, implementation and production impact. This includes designing approaches for creating, curating and improving high-quality training data, fine-tuning and post-training models using methods such as supervised fine-tuning, reinforcement learning and automated prompt or harness optimisation, and building the evaluation and feedback loops that make model and agent performance measurable and continuously improvable. You will also work on agent harnesses, sandboxed environments and the systems that connect models to interactive software tasks.

Working closely with software engineers and curriculum engineers, you will prototype quickly, identify what actually works and turn successful approaches into robust, observable production systems. At Staff / Principal level, you will define technical roadmaps for major areas, set direction across agents, evaluation, training data and model improvement, and help other engineers structure ambiguous AI problems.

Requirements

• Senior, Staff or Principal-level AI / ML or research engineer with deep hands-on technical ability.
• Direct experience fine-tuning or post-training models, rather than only consuming model APIs.
• Strong understanding of modern AI / ML fundamentals, including model training, optimisation and evaluation.
• Practical knowledge of supervised fine-tuning, reinforcement learning, RLHF or related post-training methods.
• Strong Python and the software-engineering depth to write clean, testable code.
• Proven ownership of meaningful technical outcomes across research, data and engineering trade-offs, solving ambiguous problems from first principles.
• Experience with agents, agent harnesses, sandboxed environments, evaluation infrastructure or synthetic-data workflows is highly valued.
• Base salary of approximately £100,000–£240,000, depending on level and experience.
• Meaningful equity in a well-funded, rapidly growing frontier AI company.
• Hybrid working in London or Paris, typically two days per week onsite.
• The first five weeks are expected to be full-time onsite in your local office.