Qualifications

• Master's degree in computer science, Machine Learning, Artificial Intelligence, or related field.
• 5-8 years of experience in AI/ML engineering or software development.
• Strong Python programming skills, familiar with ML frameworks like TensorFlow, PyTorch, and scikit-learn.
• Knowledge of large language models (LLMs) and agentic principles.
• Experience with vector databases, data pipelines, and retrieval systems.
• Strong problem-solving skills, with a desire to learn new techniques and frameworks.

Responsibilities

• Design, prototype, and implement agentic systems for IT automation and resilience using LLMs and agent frameworks.
• Develop multi-agent workflows and coordinate agent collaboration for complex tasks.
• Build and optimize retrieval-augmented generation pipelines for knowledge-driven agents.
• Contribute to the development and testing of robust, scalable agentic architectures and infrastructure.
• Collaborate with senior engineers and data scientists on feature development, experiments, and integration of research findings.
• Participate in code reviews, testing, and documentation to ensure quality and reliability.

Benefits

• Collaborative and innovative work environment.
• Opportunities for professional development and learning new AI techniques.
• Access to cutting-edge technology and tools in AI and ML fields.