Machine Learning Engineer - GenAI, LLM, Agentic AI

About

Research, design, development, and deployment of advanced AI agents and agentic systems.

Responsibilities

• Research, design, development, and deployment of advanced AI agents and agentic systems.
• Architect and implement complex multi-agent systems, including planning, decision-making, and execution capabilities.
• Develop and integrate large language models (LLMs) and other state-of-the-art AI techniques to enhance agent autonomy and intelligence.
• Build robust, scalable, and reliable infrastructure to support the deployment and operation of AI agents at scale.
• Collaborate with product managers, UX designers, and other engineers to define requirements and deliver impactful solutions.
• Diagnose and troubleshoot issues in complex distributed environments and optimize system performance.
• Contribute to the team's technical growth and knowledge sharing.
• Stay up-to-date with the latest advancements in AI research and agentic AI and apply them to our products.
• Leverage enterprise data, market data, and user interactions to build intelligent and personalized agent experiences.
• Contribute to the development of Copilot GenAI Workflows for Users, enabling chat-like command execution.

Qualifications

• Knowledge and passion in machine learning algorithms, Gen AI, LLMs, and natural language processing (NLP).
• Understanding of agent-based modeling, reinforcement learning, and autonomous systems.
• Experience with large language models (LLMs) and their applications in Agentic AI.
• Proficiency in programming languages such as Python, and experience with machine learning frameworks like TensorFlow or PyTorch.
• Experience with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes).
• Understanding of distributed system design patterns and microservices architecture.
• Demonstrable Coding and Algorithms skills.
• Excellent problem-solving and data analysis skills.
• Strong communication and collaboration skills.
• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent years of experience.
• Min 1-3+ years of relevant machine learning work experience.
• Research experience in agentic AI or related fields.
• Experience building and deploying AI agents in real-world applications.