AI Engineer

Job Title: Agentic & Generative Edge AI Optimization Engineer
Location: Eindhoven
Start Date: As soon as possible
Duration: 12 months
Contract Type: Freelancer (ZZP) ONLY!
On-site Requirement: Minimum 3 days per week


Role Overview
You will join an AI Competence Center focusing on generative and agentic AI systems optimized for on‑device deployment. You will work on LLMs, LMMs, and VLA models, improving performance on NPU‑based hardware, translating research into production-ready edge solutions.


Responsibilities
* Optimize LLMs and multimodal models for device deployment
* Apply quantization (8-bit, 4-bit, mixed precision), pruning, distillation
* Implement inference acceleration methods such as speculative decoding
* Enhance performance of small language models enabling tiny agents at the edge
* Deploy optimized models via Ollama, llama.cpp, ONNX Runtime, TFLite
* Create benchmarking pipelines for generative/agentic systems
* Build PoCs for industrial safety monitoring, in‑cabin sensing, etc.
* Translate advanced techniques into product-ready implementations


Profile Requirements
* MSc/PhD/EngD in a technical field
* 5+ years in AI/software engineering with LLMs, VLMs, performance systems
* Experience with quantization, pruning, optimization techniques
* Strong PyTorch / TensorFlow background
* Experience with agentic AI (LangChain, Google ADK, SmolAgents, etc.)
* Understanding of safety & guardrails for agentic systems
* Experience with deployment frameworks (CUDA, TensorRT, TFLite, ONNX, Ollama)
* Embedded systems/NPU accelerator experience
* Strong Linux, embedded architecture, version control, build systems
* ML‑Ops experience (MLFlow, ClearML)
* Knowledge of YOCTO / OpenEmbedded beneficial
* Excellent programming in C, C++, Python, Bash
* Excellent English communication skills

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