Role OverviewWe are looking for an AI/ML Engineer to build, deploy, and operate the ML/AI systems that power the agentic decision intelligence workflow. You will write production code that runs AI systems, not research papers. This is a hands-on engineering role with deep ML/AI focus.
What You Will Do
Build and maintain LLM-powered components, implement and optimize prompt engineering pipelines, build RAG systems, deploy ML models to production, and own the operational health of AI/ML services.
Why It Might Be a Fit
If you love the intersection of ML infrastructure, LLM applications, and production engineering, this role is for you. You will have the opportunity to work on a wide range of AI/ML projects and contribute to the development of new technologies.
Requirements
- 3+ years of non-internship professional software development experience
- Bachelor's degree in Computer Science, Machine Learning, or related field (or equivalent experience)
- 2+ years deploying ML models to production environments
- Strong Python proficiency + experience with ML frameworks
- Experience with LLM APIs and prompt engineering
- Experience with cloud ML services
- Experience building data pipelines for ML (feature engineering, preprocessing, training data management)
- Solid software engineering fundamentals (testing, CI/CD, code review, production operations)
Benefits
- health insurance (medical, dental, vision, prescription)
- 401(k) matching
- paid time off
- parental leave
- sign-on payments
- restricted stock units (RSUs)
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