Senior AI Engineer
New
S
SmartRecruitersRecruiting Technology
PolandFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 5+ years
- Required Skills
- PythonMachine LearningPyTorchTensorflowscikit-learnNLPLLM
Requirements
- 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 such as PyTorch or TensorFlow.
- Experience with ML tools like scikit-learn and 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 (a major plus).
- Familiarity with chatbots, conversational AI, or multi-agent systems.
- Experience with data quality management, evaluation metrics, or observability in ML systems.
- 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.
Responsibilities
- 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.
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