We are seeking a Senior Applied AI Engineer to partner closely with the CTO to design, develop, and implement applied AI solutions—including retrieval-augmented generation (RAG), LLM orchestration, and safe agentic workflows—and drive the AI-first transformation of our product and engineering teams.

Responsibilities will include:

• Lead the design and development of applied AI systems, including RAG pipelines, LLM integrations, and APIs
• Ensure safe and reliable AI outputs through implementation of guardrails, monitoring, and evaluation
• Rapidly prototype AI solutions and scale them to production with maintainable code
• Mentor engineers on AI best practices and safe adoption
• Collaborate with product and engineering leadership on project timelines and scope for AI initiatives
• Make effective trade-offs between technical debt and short-term value delivery
• Run experiments and prototypes to assess tools and prospective features
• Set standards and best practices for using AI to deliver high-quality, efficient, and maintainable code
• Work closely with cross-functional teams to integrate AI solutions into features and applications
• Contribute to foundational AI capabilities, such as RAG/vector-database solutions and agentic workflow solutions
• Continuously improve AI solutions through monitoring, analytics, and user feedback
• Develop solutions for evaluating AI performance across models and prompts
• Troubleshoot and resolve technical issues related to AI implementations
• Mentor and guide other engineers in adopting and using AI appropriately
• Research and assess the latest AI advances to support innovation
• Contribute to comprehensive testing strategies, including unit, integration, and continuous integration testing
• Develop and maintain documentation of AI solutions, processes, and best practices
• Support production operations by participating in technical support and release duty rotations

You’re a great fit if you:

• Have a minimum of 7+ years of professional software development experience, with at least 2 years of hands-on applied AI/LLM experience
• Are highly proficient in Python and modern AI frameworks (such as LangChain and vector databases)
• Have experience with Retrieval-Augmented Generation (RAG) and API-based LLM integration
• Have deployed evaluation frameworks for LLMs and understand performance, reliability, and bias assessment
• Possess a strong understanding of AI risks and mitigation approaches
• Are familiar with coding workflows using AI
• Demonstrate strong problem-solving skills and a collaborative, solution-oriented mindset
• Communicate effectively for cross-functional collaboration
• Have experience leading complex projects and providing technical leadership
• Can mentor and guide other engineers
• Are passionate about continuous learning and staying current with AI trends and advances

Preferred qualifications:

• Strong knowledge of AI security principles and best practices
• Experience with frontend design principles and user experience (UX) considerations
• Exposure to cloud-native development and containerization
• Exposure to agile development methodologies
• Prior work in healthcare or regulated domains

Total Compensation

The starting salary for this position is $160,000–$180,000.

Additional benefits include:

• Remote work environment
• Medical, dental, and vision benefits within 30 days of hire
• Retirement savings account with matching company contributions
• Mental health benefits
• 15 days paid vacation, with two additional days for each subsequent year (up to a maximum of 25 days)
• Sick and caregiving days
• Professional development initiatives for growth
• Generous parental leave (maternal and paternal) during a new child’s first year (born or adopted) and pregnancy loss leave