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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Machine Learning Engineer - Agentic Models,... - **Company:** eightfold.ai - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $232,000.0 - $310,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Software Design Patterns, Distributed Systems, Interaction Design, Python (Programming Language), Machine Learning, Natural Language Processing, Performance Tuning, Tensorflow, Enterprise Data Management, Reinforcement Learning, Pytorch, Large Language Models, Multi-Agent Systems, Deep Learning, Containerization, Kubernetes, Information Technology, TensorRT, Virtual Agents, Docker, Microservices - **Published:** August 3, 2026 - **Apply:** https://www.juju.com/job/00000000glgo5k ## About the Role + 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. + Ability to innovate, as proven by a track record of software artifacts or academic publications in applied machine learning. + 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. + 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 6-10-+ years of relevant work experience in AI, Machine Learning, and applying data science to real-world use cases. + Strong track record of taking systems from prototype to production with a focus on scalability and reliability. + Knowledge of fine-tuning strategies (QLORA, DPO) and inference optimization (vLLM, TensorRT-LLM). Desired Skills & Experience: + Research experience in agentic AI or related fields. + Experience building and deploying AI agents in real-world applications. *Pay Transparency ## Description + Lead the team in: 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. + Own, train, build, and deploy cutting-edge deep learning models across all Eightfold products, end to end. + 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. + 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. ## Related Videos - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Beyond Chatbots: How to build Agentic AI systems](https://www.wearedevelopers.com/videos/1629-beyond-chatbots-how-to-build-agentic-ai-systems) - [Efficient deployment and inference of GPU-accelerated LLMs​](https://www.wearedevelopers.com/videos/929-efficient-deployment-and-inference-of-gpu-accelerated-llms) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)