Senior Machine Learning Engineer, Agentic Systems
Striveworks · Remote or Austin, Texas, United States
About this role
**Senior Machine Learning Engineer, Agentic Systems** **About the Role** Join Striveworks as a core contributor to customer-driven projects and proprietary products. You'll develop ML solutions, orchestrate complex data and agentic workflows, and shape Chariot, our AI operations platform. Work across models, agents, tools, and workflows to build reliable AI systems while analyzing performance and usability. **Key Responsibilities** • Develop machine learning solutions and agentic workflows • Design, build, and optimize LLM-powered agents • Integrate AI systems with external tools, APIs, and enterprise data sources • Develop evaluation frameworks for agent performance and safety • Collaborate with customers, data scientists, software engineers, and DevOps teams **Required Qualifications** • BS in Computer Science, ML, or related field + 6+ years experience • Production experience with data-centric systems (ETL, ML, analytics) • Experience designing and optimizing LLM agents and agentic workflows • Proficiency in Python, TensorFlow, PyTorch, or scikit-learn • Strong software engineering fundamentals and systems programming language knowledge • Experience with RAG, tool use, planning, and multi-agent architectures • US citizenship with eligibility for Secret security clearance **Nice to Have** • Advanced degree in related field • Cloud/containerization experience (Docker, Kubernetes) • Experience with unstructured data types • Government environment experience • Active Secret clearance or above **Compensation & Benefits** $160,000–$200,000/year + equity and bonuses Medical/dental/vision • 401(k) • Unlimited PTO • Paid parental leave • HSA/FSA **Work Environment** Fully remote or hybrid/on-site in Austin, TX. Up to 20% travel. Equal Opportunity Employer
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