Data Agent

Genesis AI
Paris, London
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Technical ownership","Problem-solving","Curiosity"]

Develop LM/VLM-powered agents that drive generative simulation by interfacing with code, GUIs, web tools, and design software. Build agentic systems and data pipelines to curate, generate, and preprocess physical datasets for training and evaluating language and vision-language agents. Partner with simulation and infrastructure teams to create APIs, GUIs, and services that connect to physics engines, translating cutting-edge research into production systems for robotics and embodied AI.

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FursaFursa
Genesis AI
Genesis AI
4 months ago

Data Agent

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Develop LM/VLM-powered agents that drive generative simulation by interfacing with code, GUIs, web tools, and design software. Build agentic systems and data pipelines to curate, generate, and preprocess physical datasets for training and evaluating language and vision-language agents. Partner with simulation and infrastructure teams to create APIs, GUIs, and services that connect to physics engines, translating cutting-edge research into production systems for robotics and embodied AI.
Location: Paris, London
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key 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.
  • •Create data pipelines to curate, generate, and preprocess datasets for training and evaluating language- and vision-language-based agents.
  • •Collaborate with simulation and infrastructure teams to co-develop APIs, GUIs, and services for seamless interaction with physics engines and simulation environments.
  • •Advance a generative simulation stack that supports downstream robotics, embodied AI, and physical reasoning applications.

Key Requirements

  • •Experience building with (multimodal) large language models and generative AI tools, including agentic software design.
  • •Hands-on ability to create data pipelines for curating, generating, and preprocessing datasets used for training and evaluation.
  • •Strong GUI automation and program synthesis experience to enable tool-driven agent workflows.
  • •Track record of driving complex, open-ended projects from concept to implementation with strong technical ownership.
  • •Bonus fit: familiarity with interactive design tools (CAD, game engines) or simulation environments (physics engines, robotics simulators).
Experience:Generative AIAgentic software
Skills:Technical ownershipProblem-solvingCuriosity
Tech Stack:LMVLMLarge language modelsMultimodalGenerative AIAgentic software designGUI automationProgram synthesisAPIsGUIsData pipelinesDatasetsVision-language modelsPhysics enginesRobotics simulatorsCAD softwareGame engines

Company Brief

Genesis AI
Genesis AI is a global physical AI research lab and full‑stack robotics company building a universal robotics foundation model and horizontal platform to enable general‑purpose robots and scale automation of physical labor.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2024
WebsiteLinkedIn