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# Senior Machine Learning Engineer - GenAI, LLM,...

- **Company:** eightfold.ai
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $153,750.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Software Design Patterns, Distributed Systems, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Reinforcement Learning, Pytorch, Large Language Models, Multi-Agent Systems, Containerization, Kubernetes, Information Technology, Virtual Agents, Docker, Microservices
- **Published:** June 23, 2026
- **Apply:** https://www.juju.com/job/00000000gajd67

## About the Role

+ 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.

Preferred Qualifications:

 + Research experience in agentic AI or related fields.

 + Experience building and deploying AI agents in real-world applications.

## Description

+ 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.


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