SmartRecruiters Inc
Senior AI Engineer
Remote AI Engineering role with clear candidate location fit.
PostedJul 19, 2026
Eligible countries3 accepted countries
Seniority signalSenior
Work settingRemote
Accepted candidate locations
GermanyUnited KingdomUSA
Role overview
Senior AI Engineer
Requirements and responsibilities
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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
What You’ll Do
- 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
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