Senior Software Engineer I - AI/ML

Role Overview

This role offers the opportunity to contribute to the design and evolution of advanced AI/ML systems that power critical healthcare applications and data-driven platforms. As a senior engineer, you will work across the full stack of AI development, from infrastructure and data pipelines to model integration and deployment.

What You Will Do

Design, develop, and implement scalable and high-performance AI/ML-enabled systems supporting web applications, data pipelines, and production environments. Improve and evolve AI/ML infrastructure for model development, training, deployment, and monitoring, with a focus on generative AI and large language models.

Why It Might Be a Fit

This is an ideal opportunity for an engineer who thrives in a mission-driven environment, values clean and maintainable systems, and enjoys working at the intersection of healthcare and artificial intelligence.

Requirements

• Bachelor’s degree (or higher) in Computer Science, Engineering, or a related technical field.
• 4+ years of experience in full-stack software engineering within cross-functional teams.
• Strong experience working with SQL or similar query languages on large, complex datasets.
• 2+ years of experience contributing to technical decision-making in engineering teams with a focus on business value delivery.
• 2+ years of experience mentoring, coaching, or supporting the growth of other engineers.
• Hands-on experience building or supporting AI/ML systems, preferably including generative AI or LLM-based applications.
• Strong understanding of machine learning infrastructure, data pipelines, and model deployment practices.
• Experience designing and implementing scalable backend systems and APIs.
• Familiarity with prompt engineering techniques and applied AI optimization strategies.
• Strong problem-solving skills with the ability to balance short-term delivery and long-term architectural vision.
• Ability to collaborate effectively across product, engineering, and business teams in a fast-paced environment.
• Strong communication skills with the ability to translate complex technical concepts into clear, actionable insights.
• Commitment to security, compliance, and responsible handling of sensitive or regulated data.

Benefits

• Competitive compensation package aligned with experience and market benchmarks.
• Comprehensive medical, dental, and vision insurance coverage.
• Opportunities to work on cutting-edge AI/ML systems in healthcare.
• Flexible work environment supporting remote and hybrid arrangements.
• Paid time off, holidays, and parental leave policies.
• Professional development and continuous learning opportunities.
• Collaborative, mission-driven culture focused on innovation and impact.
• Exposure to advanced generative AI, LLMs, and applied machine learning systems.
• Opportunity to influence product direction and AI strategy at scale.