Staff Applied AI Engineer
Remote-first, flexible work environment across the U.S.Full-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 5+ years of hands on engineering experience with 2+ years building and deploying machine learning systems
- Required Skills
- PythonMachine LearningSoftware EngineeringPrompt EngineeringGenerative AI
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Math, or related technical field.
- 5+ years of hands-on engineering experience.
- 2+ years of experience building and deploying machine learning systems, including generative AI (LLMs).
- Strong software engineering fundamentals with experience shipping production-ready code.
- Proficiency in Python or a comparable language.
- Practical understanding of LLM techniques: prompting, RAG, fine-tuning, and evaluation.
- Experience working with messy, real-world data and designing effective evaluation frameworks.
- Strong written and verbal communication skills for cross-disciplinary collaboration.
- Bias toward action and demonstrated ability to take ownership of ambiguous problems.
Responsibilities
- Define technical strategy across multiple AI initiatives to influence product and research direction.
- Design, build, train, and improve LLM-based systems for patient and provider-facing products.
- Own end-to-end problem scope, dataset creation, model iteration, and production deployment.
- Develop robust evaluation frameworks, including offline benchmarks and human-in-the-loop reviews.
- Build and improve ML infrastructure including data pipelines, training, inference, and tooling.
- Partner with clinicians, product managers, and engineers to translate medical requirements into ML solutions.
- Set technical direction and mentor other engineers to raise the bar for engineering rigor.
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