Senior Machine Learning Engineer (AI tools)
Core
Designing and developing agentic workflows where autonomous AI agents collaborate to deliver intelligent, context-aware recruiting experiences at scale.
Role type
Senior Machine Learning Engineer (Agentic AI & Conversational Systems)
Builds
Adaptive, goal-driven conversational systems and autonomous AI agents for the recruiting industry
Domain
Recruiting / Human Resources + Generative AI / Agentic Workflows
Deliverable
production ML models
Required skills
NLP techniques, LLM fine-tuning, model evaluation, deep learning frameworks (PyTorch, TensorFlow), end-to-end ML pipeline design, Python programming, software engineering fundamentals
Preferred skills
Agentic workflows, autonomous AI systems, chatbots, conversational AI, multi-agent systems, data quality management, ML observability
Technologies
PyTorch, TensorFlow, scikit-learn, Hugging Face
Responsibilities
Architect and build agentic workflows combining LLMs and reasoning components; Lead design and development of advanced ML/NLP products from ideation to production; Drive experimentation with agentic reasoning and autonomous system design; Collaborate with product and engineering to integrate intelligent agents into recruiting workflows; Guide technical decisions and mentor engineers on scalable ML systems; Contribute to the evolution of the NLP and conversational intelligence stack
Seniority
Senior, hands-on IC with mentorship responsibilities