Data Agent Engineering & Research London

Genesis; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Genesis is seeking a visionary engineer to advance next-generation physical data synthesis by combining simulation, generative models, and autonomous agents. You will own end-to-end delivery of agentic systems that generate high-fidelity data for embodied AI applications.

The role involves building data pipelines, collaborating across teams to expose APIs and GUIs, and staying at the leading edge of LLM agents and tool use to transform cutting-edge research into robust production systems.

Qualifications

• Vision for next-generation physical data synthesis combining simulation, generative models, and autonomous agents.
• Deep curiosity and strong technical ownership, with a track record of driving complex, open-ended projects from concept to implementation.
• Experience with (multimodal) large language models, generative AI tools, agentic software design, GUI automation, program synthesis.
• Bonus: Familiarity with interactive design tools or simulation environments such as CAD, game engines, physics engines, or robotics simulators.

Responsibilities

• Develop LM/VLM-powered agents that autonomously interface with code, GUI, web tools, and design software to drive generative simulation.
• Build agentic systems that synthesize high-quality, diverse physical data by orchestrating simulation, generative models, and interactive tools.
• Build data pipelines to curate, generate, and preprocess datasets used for training and evaluating language- and vision-language-based agents.
• Collaborate with simulation and infrastructure teams to co-develop APIs, GUIs, and services that enable seamless interaction with physics engines and simulation environments.
• Drive innovation by staying at the forefront of LLM agents, autonomous tool use, and generative simulation — and translating cutting-edge research into robust, production-ready systems.
• Contribute to the creation of a generative simulation stack that empowers downstream applications in robotics, embodied AI, and physical reasoning.

Skills

Multimodal LLMs

Agentic AI

GUI automation

Program synthesis

Generative AI tools

Data pipelines

Tools

CAD software

Game engines

Physics engines

Robotics simulators

Job description

What You’ll Do

• Develop LM/VLM-powered agents that autonomously interface with code, GUI, web tools, and design software to drive generative simulation

• Build agentic systems that synthesize high-quality, diverse physical data by orchestrating simulation, generative models, and interactive tools

• Build data pipelines to curate, generate, and preprocess datasets used for training and evaluating language- and vision-language-based agents

• Collaborate with simulation and infrastructure teams to co-develop APIs, GUIs, and services that enable seamless interaction with physics engines and simulation environments

• Drive innovation by staying at the forefront of LLM agents, autonomous tool use, and generative simulation — and translating cutting-edge research into robust, production-ready systems

• Contribute to the creation of a generative simulation stack that empowers downstream applications in robotics, embodied AI, and physical reasoning

What You’ll Bring

• A bold and imaginative vision for a next-generation paradigm of physical data synthesis— combining simulation, generative models, and autonomous agents

• Deep curiosity and strong technical ownership, with a track record of driving complex, open-ended projects from concept to implementation

• Experience with (multimodal) large language models, generative AI tools, agentic software design, GUI automation, program synthesis

• Passion for inventing creative solutions at the edge of AI, simulation, and physical reasoning, with an eagerness to build systems that generate high-fidelity, useful data for embodied intelligence

• Bonus: Familiarity with interactive design tools (e.g., CAD software, game engines) or simulation environments (e.g., physics engines, robotics simulators)