I
Senior AI Engineer
Contract type
Ongoing
Work mode
Remote
Experience
Senior · Not stated
Level inferred from job title
Job description
Senior AI Engineer at INDG/Grip building the intelligence behind AI-driven brand content production: LLM agents, retrieval/RAG systems, and automated pipelines that turn client material into structured, reliable output.
At a glance
- Work mode
- Remote
- Languages
- English
What you'll do
- Designing focused, reliable LLM agents that translate brand intent into precise creative direction
- Crafting, testing, and versioning prompts that steer agents and generation, and building the system that assembles them
- Grounding generation in each brand's rules, assets, and visual language via retrieval and RAG, with strict isolation between clients
- Systematic measurement (RAGAS or similar), A/B testing, and regression gates to prove quality
- Building data extraction and OCR pipelines that pull structure out of documents, decks, scans, and imagery; using OCR and vision models for reading, understanding, and tagging client material
- Building end-to-end automation pipelines that classify, extract, propose, and verify, with humans reviewing outcomes
- Fine-tuning LLMs and neural networks where prompting hits its ceiling, running models locally or hosted
- Running pipelines against real client data and real production volume
What we're looking for
- Strong experience with LLM-based systems in production (agents, RAG, orchestration)
- Hands-on work with evaluation frameworks and structured experimentation
- Solid programming skills across 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
- Systems thinking: how components interact, fail, and scale
- Thinking in constraints to guide models toward predictable outputs
- Thinking in data: extraction, classification, and structure
- Pragmatic approach: shipping working solutions and refining based on results
- 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
How to get hired
- 1Send resume and portfolio in English via the link provided
Apply
Direct apply at INDG
Opens the job posting at INDG
About INDG
Grip is infrastructure for enterprise creative production—powering global brands to generate content at scale with control and consistency.
Grip is changing how global brands produce content - from manual, tool-driven workflows to intelligent systems that generate high-quality visual output at scale.
Key facts
- Grip is infrastructure for enterprise creative production
- Stack spans TypeScript, Python, Elixir, and C#
- Uses ComfyUI-based workflows and multi-tenant architecture