Senior AI Engineer
Listed on 2025-12-01
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Company Description
Smart Recruiters is the Recruiting AI Company that transforms hiring for the world’s leading enterprises. Built for global scale, Smart Recruiters, an SAP company, delivers an AI-powered hiring platform that automates and optimizes the entire talent acquisition process, ensuring faster and smarter hiring decisions. More than 4,000 companies, including Amazon, Visa, and McDonald’s, rely on Smart Recruiters to build winning teams.
In 2025, Smart Recruiters joined SAP, the global leader in enterprise applications. Together, Smart Recruiters and SAP are accelerating the reinvention of hiring by combining cutting-edge AI innovation with the scale, reach, and resources of SAP’s ecosystem.
At Smart Recruiters, we are a values-driven, globally focused tech company with strong financial backing and a bold vision for the future of work. We commit and dig deep, embracing challenges with grit, curiosity, and a drive for excellence. We foster a collaborative and inclusive work environment, where trust and determination bring us together. Because together, we will win.
Recognized by Fosway Industry Analysts as a strategic leader in recruitment technology for three consecutive years, and awarded by Comparably as a top company for Women, Perks and Benefits, Work-Life Balance, Happiness, Compensation, Diversity, and Culture - we take pride in creating a place where everyone can thrive. Our remote-friendly culture, competitive salaries, and strong internal mobility ensure that high performers have meaningful growth opportunities in an environment built on respect and empowerment.
Job DescriptionWe 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 Smart Recruiters, 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
- 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, Tensor Flow) 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…
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