Must have

• Python

• Machine Learning

• AI

• NLP

• Deep learning

• PyTorch

• TensorFlow

• scikit-learn

• Hugging Face

• English (C1)

Requirements description

• 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 spoke

Offer description

🚀 SmartRecruiters transforms hiring for the world’s leading enterprises. We deliver an AI-powered hiring platform built for global scale, automating and optimizing the entire talent acquisition process. More than 4,000 companies, including LinkedIn, McDonald's, VISA, CD Projekt Red, Allegro rely on SmartRecruiters to build winning teams.

🚀 In 2025, SmartRecruiters joined SAP, the global leader in enterprise applications. Together, we are accelerating the reinvention of hiring by combining AI innovation with the scale and resources of SAP’s ecosystem.

We designed our R&D structure based on the empowered product teams model. It means our teams are responsible for business outcomes and have autonomy in solving problems in a way that “customers love yet work for the business”.

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 .

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

Your responsibilities

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

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