Senior AI/ML Engineer
Core
Design, prototype, and implement agentic systems for IT automation and resilience using LLMs and agent frameworks.
Role type
Senior AI/ML Engineer (Agentic Systems)
Builds
Multi-agent workflows, retrieval-augmented generation pipelines, and scalable agentic architectures.
Domain
IT Automation / AI Engineering
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, scikit-learn, LLMs, agentic principles, vector databases, data pipelines, retrieval systems
Preferred skills
agentic frameworks, AWS cloud platforms, MLOps tools, open-source AI/ML contributions, autonomous agents, RAG systems, multi-agent workflows
Technologies
TensorFlow, PyTorch, scikit-learn, AWS
Responsibilities
Design and implement agentic systems for IT automation; Develop multi-agent workflows; Build and optimize RAG pipelines; Contribute to testing of robust agentic architectures; Collaborate on feature development and integration; Participate in code reviews and documentation
Seniority
Senior, hands-on IC
