Manufacturing Artificial Intelligence Engineer
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We’re hiring an AI Engineer to build and deploy solutions across generative AI, computer vision, and intelligent automation. You’ll take projects from prototype through deployment, working on-site alongside senior engineers who will mentor you as you build, test, and ship.
What you’ll build- LLM-powered features with structured outputs, function calling, and retrieval-augmented generation (RAG). You’ll design prompts, evaluate model behavior, and debug edge cases.
- AI agents and automated workflows that connect models with APIs, databases, and existing systems.
- Computer vision models for classification, object detection, and inspection, optimized for deployment on embedded devices.
- Python backends and AI tooling, plus C/C++ firmware for microcontrollers.
- Data layers using relational, No SQL, and vector databases.
You’ll also troubleshoot integrations, document code and prompts, and participate in code reviews.
What you’ll bring- A completed degree in Computer Science, Computer Engineering, Electronics, Mechatronics, or a related field.
- Full bilingual is a must
- More than two years of programming experience and a working understanding of AI.
- Strong Python skills and familiarity with C and C++.
- A foundation in generative AI, LLMs, and prompt engineering.
- Familiarity with SQL and No SQL, plus basic knowledge of microcontrollers, embedded systems, and edge computing.
- Clear communication, the ability to learn independently, and a collaborative approach to engineering.
Hands‑on projects with LLMs or RAG, agent frameworks such as Lang Chain, Lang Graph, or Crew AI, or automation tools such as n8n, Make, or Zapier. Experience with CNNs, Open CV, YOLO, Tensor Flow, or Py Torch is a plus, as is familiarity with Git or AWS, GCP, or Azure.
Tell us about an AI project you’ve built. What did you make, what was the hardest part, and how did you know it worked?-
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