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Senior Machine Learning Engineer, Agentic Systems

striveworks, inc • United States
Remote
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Build and optimize LLM-powered agentic systems and production ML workflows for mission-critical deployments. Develop data-centric systems, integrate AI with tools/APIs/MCP servers, and evaluate agent performance, reliability, and safety. Requires 6+ years of relevant experience, Python and ML library proficiency, systems programming skills, and an active Secret clearance.

Key Highlights
Senior ML engineer role focused on agentic AI systems and production ML workflows
Requires 6+ years of relevant experience and a BS in a related discipline
Active Secret clearance and US citizenship required
Fully remote or hybrid/on-site in northwest Austin, TX; up to 20% travel
Base pay range $185,000-$230,000/year plus equity and bonuses
Key Responsibilities
Develop machine learning solutions and orchestrate complex data and agentic workflows
Design, build, evaluate, and optimize LLM-powered agents and agentic workflows
Integrate AI systems with external tools, APIs, MCP servers, and enterprise data sources
Develop evaluation approaches and frameworks for agent performance, reliability, and safety
Deliver data-centric systems including data engineering, cleaning, ETL pipelines, and production analytics
Technical Skills Required
Python Machine Learning TensorFlow
Benefits & Perks
Medical/dental/vision insurance
Voluntary life, long-term disability, accident, and hospital indemnity insurance
HSA and FSA (including dependent care FSA) plans
401(k) plan
Unlimited PTO
Paid parental leave
Equity grants
Cash bonuses
Nice to Have
Advanced degree in data science, machine learning, computer science, or a related discipline
Knowledge of client-server architectures and design patterns such as asynchronous programming, REST, GraphQL, React, Vue, and Angular
Experience implementing and deploying software into containerized or cloud environments
Experience with unstructured data types such as imagery, video, text, acoustic, sonar, RF, and telemetry signals
Experience defining, scoping, planning, and delivering complex technical solutions
Experience leading a small team
Experience delivering technology solutions in secure government environments

Job Description

Role details

Contract type: Permanent contract

Employment type: Full-time (> 32 hours)

Experience level: Expert

Experience required: 6 years minimum

Compensation: $185,000.0 - $230,000.0

Working hours: Regular working hours

Job source: www.careerbuilder.com

Tech stack

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