Forward Deployed Engineer

Stability
United States
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Communication","Problem-solving"]

Partner with creative and enterprise customers to adopt generative AI across image, video, 3D, vector graphics, and design. Build prototypes, integrations, and production-ready solutions by adapting multimodal models to customer-specific workflows, datasets, brand requirements, and creative pipelines. Work cross-functionally to translate ambiguous needs into scoped technical requirements, evaluate controllability and reliability, diagnose issues across systems, and document reusable implementation patterns.

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FursaFursa
Stability
Stability
5 days ago

Forward Deployed Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Partner with creative and enterprise customers to adopt generative AI across image, video, 3D, vector graphics, and design. Build prototypes, integrations, and production-ready solutions by adapting multimodal models to customer-specific workflows, datasets, brand requirements, and creative pipelines. Work cross-functionally to translate ambiguous needs into scoped technical requirements, evaluate controllability and reliability, diagnose issues across systems, and document reusable implementation patterns.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Partner with creative, technical, and business stakeholders to understand workflows, systems, and goals.
  • •Identify and apply generative AI opportunities across image, video, 3D, vector graphics, and design.
  • •Build prototypes, integrations, and production-ready solutions delivering measurable customer value.
  • •Adapt generative and multimodal models to customer-specific use cases, datasets, brand requirements, and production environments.
  • •Evaluate solutions on quality, controllability, consistency, reliability, and production usefulness; diagnose issues across models, APIs, data pipelines, infrastructure, and integrations.
Travel: Low travel

Key Requirements

  • •Strong software engineering experience building and deploying AI-powered applications in production.
  • •Experience with generative AI, multimodal systems, computer vision, graphics, or creative technology.
  • •Strong programming skills in Python and experience with frameworks such as PyTorch.
  • •Familiarity with APIs, cloud infrastructure, data pipelines, model serving, and enterprise integrations.
  • •Ability to translate ambiguous customer problems into clearly scoped technical solutions.
Experience:Generative AIComputer vision
Education:Bachelor's
Skills:CommunicationProblem-solving
Languages:English
Tech Stack:PythonPyTorchAPIsCloud infrastructureData pipelinesModel serving

Company Brief

Stability
Develops open-source generative AI models and tools, including image synthesis (Stable Diffusion) and multimodal foundations, enabling creators and businesses to build AI-driven media and applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: London, United Kingdom
Founded: 2020
WebsiteLinkedIn