AI Agentic Safety Researcher

Location:

(00180) Finland

Salary:

market rate

Type:

Permanent

Main Industry:

Search Engineering Jobs

Advertiser:

microTECH Global Ltd

Job ID:

133423409

Posted On:

09 September 2026

We are looking for a passionate and motivated researcher with a solid track record of solving challenging problems, advancing state-of-the-art, and demonstrated passion for ground-breaking research that could be scaled to production environment with an emphasis on the intersection of AI and Safety.

Your responsibilities:

· Develop and implement state-of-the-art alignment techniques (e.g., RLHF, RLAIF, Constitutional AI) specifically tailored for LLMs CoT, agentic workflows and multi-step reasoning.

· Create automated red-teaming frameworks and ‘safety sandboxes’ to test for agent-specific failure modes.

· Develop robust defenses against jailbreaking, prompt injections, and adversarial exploits that target a model’s planning and tool-use capabilities.

· Build tools to understand why an agent made a specific decision, ensuring the ‘black box’ of agentic reasoning becomes transparent and auditable.

· Turn cutting-edge AI safety papers into high-performance, scalable code, transforming theoretical breakthroughs into production-ready tools and frameworks.

Requirements:

· Ph.D. in Computer Science, Deep Learning, Machine Learning, Mathematics or other related fields.

· Focused on research in the AI field with good track records and high motivation in Agentic/Gen AI Safety Alignment domain.

· Strong proficiency in Large Language Models (LLMs), neural networks, and computer vision architectures and Reinforcement learning.

· Strong background in Python, Java, or C++, with deep knowledge of ML frameworks such as PyTorch, TensorFlow. Familiarity with agentic frameworks (e.g., LangChain, AutoGPT, OpenClaw).

· Successful experience in AI alignment to human values and expectations, model robustness improvement, controlled and continual learning, neural network interpretability and editing techniques is highly valued.

· Prior work in AI Safety, Ethics, or Trust & Safety is a huge plus.

· Pioneering novel methods and neural networks that revolutionized machine learning or the AI field, or revolutionized the industry, is a huge plus.

· Strong publication record in top conferences (i.e. NeurIPS/ICLR/ICML/ AAAI/ACL/CVPR/ICCV/EMNLP/NAACL).

· Candidates with ICPC, IOI/IMO, IOAI and other international competition in computer science, machine learning, and AI, etc. are highly preferred.

· Good teamwork, enjoy working with multi 8209;cultu

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