Senior Software Engineer (AI/ML)

The Role

We are looking for a highly skilled and versatile Senior Software Engineer (AI/ML) to join our team and play a key role in architecting, developing, and scaling backend systems that power ML- and AI-driven products. You will lead the development of core systems, including our chatbot and other ML-powered products, while collaborating closely with clinicians, product managers, and engineers to solve complex real-world problems in pediatric behavioral healthcare. 

This is a production-focused role. We are looking for someone who enjoys building, owning, and operating production systems that leverage ML, rather than focusing exclusively on model experimentation or academic research.

Responsibilities

• Lead the design, development, and deployment of production-grade backend systems that incorporate ML/AI capabilities, including chatbots, workflows, and supporting infrastructure.
• Own ML-enabled services end-to-end, from API and data design through deployment, monitoring, and iteration in production.
• Focus on building reliable, scalable systems in production, balancing model development with system design, integration, and ongoing operations.
• Collaborate with ML researchers, product managers, and subject matter experts to translate prototypes into production-ready solutions.
• Build, maintain, and optimize scalable data pipelines, model training frameworks, and workflow orchestration systems (e.g., Temporal, Airflow, Vellum).
• Contribute to API/schema design, backend development (Python/Django), and web programming as needed.
• Troubleshoot and resolve complex technical problems across distributed systems and ML pipelines.
• Mentor junior engineers and help define best practices for engineering and ML operations within the team.
• Adapt to evolving project requirements in a fast-paced, early-stage startup environment.

Qualifications

• 6+ years of experience in software engineering, with strong backend and web development experience.
• Demonstrated experience shipping and operating ML-enabled systems in production (not purely research or experimental work).
• Proven expertise in Python, web frameworks (e.g., Django), GraphQL, workflow orchestration tools (e.g., Temporal, Airflow), and API/schema design.
• Hands-on experience with ML pipelines, model training frameworks, and cloud infrastructure.
• Experience working cross-functionally with product, engineering, and domain experts.
• Strong debugging skills and ability to tackle hard technical problems.
• Early-stage startup experience preferred, with flexibility, scrappiness, and willingness to pivot.
• Excellent communication, mentoring, and collaboration skills.
• Experience with LLMs, RAG frameworks, chatbots, or generative AI is a plus.

This role is currently displayed with a Colorado-compliant salary range. The range may be adjusted based on approved hiring location, including San Francisco Bay Area market compensation.

• Dog-friendly office.
• Catered lunch from local Denver restaurants five days a week, plus occasional breakfasts and dinners.
• Robust snack program and great coffee options (including cappuccino machine and cold brew cans).
• Regular team events and low-key socials.
• Up to $150/month commuter stipend, discounted nearby parking, and a discounted Colorado Athletic Club membership.
• Thoughtfully designed space for focus, collaboration, and connection.
• Competitive health benefits, stock options, 401(k), and generous PTO.