Senior AI Engineer

About the Position

Senior AI Engineer

Grip is revolutionizing how global brands produce content by transitioning from manual, tool-driven workflows to intelligent systems that generate high-quality visual output at scale. As a Senior AI Engineer, you will be at the forefront of this transformation, building the intelligence behind it.

Responsibilities

• LLM agents: Designing focused, reliable agents that translate brand intent into precise creative direction.
• Prompt engineering & orchestration: Crafting, testing, and versioning the prompts that steer agents and generation, establishing prompting as an engineering discipline.
• Retrieval & RAG: Grounding generation in each brand's rules, assets, and visual language, ensuring strict isolation between clients.
• Evaluation & experimentation: Implementing systematic measurement, A/B testing, and regression gates to ensure quality is proven rather than assumed.
• Data extraction & OCR: Developing pipelines that extract structure from documents, decks, scans, and imagery, using OCR and vision models.
• Automation: Creating end-to-end pipelines that run without constant supervision, allowing humans to review outcomes instead of doing the work manually.
• Model training: Fine-tuning LLMs and neural networks, running models locally or hosted as needed.
• Client-facing impact: Ensuring your pipelines run against real client data and production volume, with visible results in everything that ships.

Requirements

Who You Are

• Strong experience with LLM-based systems in production (agents, RAG, orchestration).
• Hands-on work with evaluation frameworks and structured experimentation.
• Solid programming skills in TypeScript and Python, with experience shipping working systems.
• Experience training or fine-tuning models and managing their lifecycle.
• Exposure to generative image pipelines and making their output usable.

You Think:

• In systems, not prompts - understanding how components interact, fail, and scale.
• In constraints - guiding models toward predictable outputs.
• In data - extraction, classification, and structure as the foundation for everything else.
• Pragmatically - shipping working solutions and refining based on results.

Your Skills Are:

• Translating abstract creative direction into structured AI workflows.
• Turning messy, unstructured material into clean, reliable data pipelines.
• Debugging LLM and retrieval behavior across multiple layers of a pipeline.
• Communicating across engineering and creative teams.

We Offer

Why Join Grip?

• The Platform Position: Grip is infrastructure for enterprise creative production, powering global brands to generate content at scale with control and consistency.
• The Market Timing: AI-generated content is moving from experimentation to production. The challenge is no longer generation-it’s control, reliability, and scale.
• The Technical Moat: You’ll work with ComfyUI-based workflows, multi-tenant architecture, and a stack spanning TypeScript, Python, Elixir, and C#-built for production, not demos.
• The Work: You will define how AI is actually used in real-world creative systems-turning unpredictable models into dependable pipelines.

About the Company

Grip handles and uses personal data of job applicants in line with its Recruitment Privacy Policy.

Location: Remote - Amsterdam, Noord-Holland, Netherlands

Application Procedure

If you’re ready to bring your skills to a role where you can make a difference, we want to hear from you. Send your resume and portfolio in English via the link provided. If you have questions, contact our Recruitment Department at [email protected].