Senior Software Engineer, Agentic AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, train, assess, and enhance sophisticated machine learning and LLM-based systems for products aimed at both patients and providers.

• Spearhead the technical execution of intricate AI projects and take ownership of solution design and delivery within a specific product or technical area.

• Collaborate with clinicians and product partners to define issues.

• Create datasets and assessments, refine modeling, and deploy systems to production with appropriate monitoring and safeguards.

• Establish evaluation frameworks that include offline benchmarks, human-in-the-loop assessments, and online experiments.

• Construct and enhance data pipelines, training and inference infrastructure, prompt and model management, along with tools for clinical reviewers.

• Work alongside clinicians, product teams, and engineers to translate medical and operational needs into machine learning challenges.

• Set the technical direction, mentor engineers, and elevate engineering and scientific standards.

• Stay updated on AI literature and the evolving landscape of AI technologies.

• Evaluate the real-world clinical and product impact.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or a related technical discipline.

• Over 3 years of practical engineering experience.

• More than 1 year of experience in building and deploying machine learning systems, specifically generative AI (LLMs).

• Proven track record of delivering impactful results.

• Strong foundation in software engineering principles.

• Ability to produce reliable, thoroughly tested production code in Python or a similar programming language.

• Practical knowledge of prompting, retrieval-augmented generation, fine-tuning, and evaluation techniques.

• Comfort in dealing with complex, real-world data.

• Capability to design evaluations to ascertain a system’s effectiveness.

• Excellent written and verbal communication skills.

• Ability to collaborate effectively across various disciplines with clinicians, product managers, and engineers.

• Experience applying machine learning or LLMs in healthcare, life sciences, or another regulated high-stakes field (preferred).

• Familiarity with clinical NLP, medical knowledge representation, or electronic health record data (preferred).

• Experience in developing production agentic systems and tool-using LLMs (preferred).

• Background in scaling machine learning infrastructure (preferred).

• History of technical leadership (preferred).

🏝️ Benefits

• Comprehensive medical, dental, and vision insurance.

• Flexible spending options.

• Generous and adaptable Paid Time Off (PTO) policy.

• Floating holidays.

• Parental leave.

• 401k plan with employer matching.

• 100% remote work — enjoy the flexibility of working from home.

• Significant equity opportunities.

• Flexible working environment across the United States.