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app4mo ago

Senior Machine Learning Engineer - GenAI, LLM, Agentic AI

senior
Machine Learning EngineerData
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Quick Summary

Overview

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.

Technical Tools
awsdockerkubernetespythonpytorchtensorflowdata-analysismachine-learningmicroservicessystem-design
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. Knowledge and passion in machine learning algorithms, GenAI, LLMs, and Agentic AI 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. Bachelors o Masters or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent years of experience. Min 2-5+ 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. Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.

Location & Eligibility

Where is the job
Location terms not specified

Listing Details

Posted
February 5, 2026
First seen
May 6, 2026
Last seen
June 6, 2026

Posting Health

Days active
30
Repost count
0
Trust Level
14%
Scored at
June 6, 2026

Signal breakdown

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appSenior Machine Learning Engineer - GenAI, LLM, Agentic AI