Senior AI Engineer

Job Description

We are looking for a Senior AI Engineer to join our Chat Group, where we’re building the next generation of intelligent conversational systems for the recruiting industry.

Our mission is bold yet simple: boost the efficiency of recruiting and hiring teams and deliver the most personalized experience ever - powered by cutting-edge ML, NLP, and agentic AI.

You’ll play a central role in designing and developing agentic workflows, where autonomous AI agents collaborate, reason, and act to deliver intelligent and context-aware recruiting experiences at scale.

At SmartRecruiters, you’ll be part of a global, high-impact team shaping how people connect with jobs.

You’ll work with passionate peers across Germany, Poland, the UK, and the US - in a culture that values autonomy, innovation, and measurable outcomes.

We’re not just building chat systems - we’re building the AI recruiting assistants of the future.

What You’ll Do

• Architect and build agentic workflows that combine large language models, reasoning components, and data pipelines to create adaptive, goal-driven conversational systems
• Lead the design and development of advanced ML/NLP products, from ideation to production - including model training, evaluation, optimization, and deployment
• Drive experimentation with new approaches for agentic reasoning, coordination, and autonomous system design
• Collaborate closely with product and engineering teams to integrate intelligent agents into real-world recruiting workflows
• Guide technical decisions, mentor other engineers, and help define best practices for scalable, maintainable ML systems
• Contribute to the evolution of our NLP and conversational intelligence stack, focusing on reliability, personalization, and user impact
• Proactively identify opportunities to automate, improve, and innovate within our chat-based ecosystem

Qualifications

• BSc or MSc in Computer Science, Machine Learning, AI, NLP, or a related technical field - or equivalent practical experience
• 5+ years of experience developing and deploying machine learning systems in production
• Proven expertise in NLP techniques, LLM fine-tuning, and model evaluation
• Strong proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow) and ML tools (e.g., scikit-learn, Hugging Face)
• Advanced Python programming skills and solid software engineering fundamentals
• Experience designing and maintaining end-to-end ML pipelines, from data ingestion to deployment
• Hands-on experience with agentic workflows or building autonomous AI systems is a major plus
• Familiarity with chatbots, conversational AI, or multi-agent systems is strongly preferred
• Experience with data quality management, evaluation metrics, or observability in ML systems is a plus
• Strong analytical thinking, creativity, and an ownership mindset
• Excellent communication and collaboration skills in a cross-functional, international environment
• Fluency in English, both written and spoken