Set2Recruit03.02.26
AI SCORE 8.5

Lead AI Engineer - Large Language Models (Relocation Required)

$85K–$115K/year

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.
Why This Job8.5 of 10

This Lead AI Engineer role offers a competitive salary, comprehensive relocation support, and the chance to work on groundbreaking AI technologies.

Salary Range
Required
0/1
Optional
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Bonus
0/1

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Industry
Tech
Location
Remote

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.

Learning Resources

Hugging Face Transformers Documentationguide

Career Path

Lead AI Engineer - Large Language Models(Now)Senior AI Engineer / AI Research Scientist(1-2 years)AI Engineering Manager / Principal AI Engineer(3-5 years)

Market Overview

Market Size 2024
$15.7B
Annual Growth
32.5%
AI Adoption in Enterprises
75%
Investment in AI Solutions
+150%
Labour Demand for AI Engineers
+42%
Avg Salary for LLM Engineers
$145K

Skills & Requirements

Required
LLMVision-Language ModelsDeepSpeed
Growing in Demand
Reinforcement LearningNatural Language Processing (NLP)Model Optimization Techniques
Declining
Rule-based SystemsTraditional Machine Learning (e.g., Decision Trees)

Domain Trends

Rise of Multimodal Models
Multimodal models are gaining traction, with a 50% increase in demand for engineers skilled in combining text and vision capabilities.
Shift Towards Open-Source Frameworks
The adoption of open-source frameworks like Hugging Face has increased by 60%, making it essential for engineers to be proficient in these tools.
Focus on Ethical AI Development
Companies are prioritizing ethical AI, with 70% of organizations investing in bias detection and mitigation strategies in their LLM deployments.

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