Senior AI Engineer
Role details
Job location
Tech stack
Job description
The role involves architecting and building agentic workflows that integrate large language models, reasoning components, and data pipelines to create adaptive conversational systems. Responsibilities also include leading the design and development of advanced ML/NLP products from ideation through to production deployment.
Requirements
Agentic Workflows, Large Language Models, ML/NLP Products, Model Training, Model Evaluation, Model Optimization, Deployment, Agentic Reasoning, Autonomous System Design, Deep Learning Frameworks, Python Programming, Software Engineering, ML Pipelines, Conversational AI, Data Quality Management, Analytical Thinking, 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 Additional Information SmartRecruiters is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual
