Lead AI Engineer - Large Language Models (Relocation Required)
About the Role
We are seeking a talented Lead AI Engineer to join our dynamic team. This role focuses on developing advanced AI systems, particularly in the realm of Large Language Models (LLMs) and Vision-Language Models (VLMs). As a Lead AI Engineer, you will have the opportunity to work on cutting-edge technology while enjoying the benefits of a tax-free salary and comprehensive relocation support.
What You'll Do
- Design, train, fine-tune, and optimize LLMs and VLMs for real-world applications.
- Develop and orchestrate autonomous agent frameworks capable of multi-step reasoning, planning, and tool use.
- Build scalable, low-latency inference systems for large models using frameworks like DeepSpeed, vLLM, TensorRT, or ONNX Runtime.
- Implement distributed training, model parallelism, and efficient inference pipelines; optimize deployment for edge devices, GPUs, and cloud-based platforms.
- Stay updated with the latest advancements in LLMs, multimodal models, and autonomous agents.
Requirements
- Master’s or PhD in Computer Science, AI/ML, Robotics, or a related field.
- Proven track record of hands-on work with LLMs, VLMs, or agentic frameworks.
- Experience in productionizing AI systems at scale.
- Strong understanding of LLMs, VLMs, transformers, and multimodal architectures.
- Proficient in PyTorch, TensorFlow, and Hugging Face.
Nice to Have
- Experience with frameworks such as LangChain, LlamaIndex, and OpenAI Agents.
- Knowledge of reinforcement learning techniques.
- Familiarity with cloud platforms (AWS, GCP, Azure).
What We Offer
- Competitive salary ranging from €85,000 to €115,000, tax-free.
- Amazing relocation benefits and healthcare coverage.
- 40 days of holiday including public holidays.
- Free lunch provided.
- Opportunities for professional growth and development in AI.
This Lead AI Engineer role offers a competitive salary, comprehensive relocation support, and the chance to work on groundbreaking AI technologies.
About Set2Recruit
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Who Will Succeed Here
Proficient in developing and optimizing Large Language Models (LLMs) using frameworks like PyTorch and TensorFlow, with hands-on experience in implementing DeepSpeed for enhanced performance.
Self-motivated and disciplined to thrive in a remote work environment, demonstrating strong time management skills and the ability to lead projects independently while collaborating effectively with distributed teams.
Possesses a strong analytical mindset with a focus on continuous learning, particularly in areas such as Vision-Language Models and the integration of technologies like Docker for deployment and scalability.
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