What we do
Augmentus is a leading provider of robotic programming solutions that simplify and streamline traditionally complex industrial automation processes. Our innovative solution integrates cutting-edge features like 3D scanning, automated path optimization, and seamless robot code generation to make programming accessible and efficient for manufacturers handling high-mix, high-part complexity operations. Trusted by global leaders in industries such as media blasting, painting, and welding, Augmentus empowers companies to achieve scalability, reliability, and superior operational efficiency. Join us to revolutionize the future of robotics and automation.
About your role
- Model development: Train, fine-tune, evaluate, and ship machine-learning models for robotics tasks. (e.g. segmentation, edge detection, pose/feature estimation).
- LLM workflows & agents: Design tool-using LLM agents (planning, code-gen, retrieval, function/tool calling) and orchestrate end-to-end automations using tools like n8n or similar platforms.
- RAG & knowledge: Build vector databases, chunking/embedding strategies, guardrails, and evaluation strategies.
- Systems integration: Expose AI services via robust APIs/SDKs and integrate with our application.
- MLOps: Implement and maintain training/evaluation pipelines, model versioning, and deployment workflows to production environments.
Requirements
- Minimum 3 years of hands-on experience in AI/ML engineering
- Strong ML/DL fundamentals with hands-on experience in PyTorch (or TensorFlow/JAX), and solid Python engineering practices.
- Proven experience with LLMs: prompt design, function/tool calling, finetuning/LoRA, RAG; familiarity with stacks like OpenAI, Anthropic, or Llama.
- MLOps knowledge — tools like MLflow, Weights & Biases, model registries, artifact/version management, and automated evaluations.
- Practical experience with workflow orchestration using n8n (or equivalent) to wire LLMs, APIs, webhooks, schedulers, and human-in-the-loop steps.
- Proficiency with Git and Git Flow.
- Familiarity with agile software development (Scrum, Jira).
- Good understanding of APIs and backend integration.
