AI Engineer

Summary

Join Nava Benefits as an AI Engineer and own the execution of AI technology across our application stack. Collaborate with the Product team, leverage foundation models, and work across the full stack to build intelligent software. Transform how HR teams and employees interact with benefits and healthcare systems, and empower internal consulting teams. Build AI as core application features using direct API integration, modern web frameworks, and scalable cloud infrastructure. We believe AI capabilities should be woven throughout the user experience. You will build generative AI solutions, intelligent search systems, and design effective interactions with foundation models. Ship AI-powered features with high reliability and performance standards.

Responsibilities

• Work with product, engineering, and design to identify customer and team pain points and build generative AI solutions using software engineering best practices
• Work across the full stack - frontend, backend, and infrastructure - integrating AI capabilities directly into applications
• Build intelligent search and retrieval systems that help users find relevant information quickly
• Design effective interactions with foundation models (GPT-4, Claude, Gemini) to achieve reliable behaviors
• Ship AI-powered features with the same reliability and performance standards as any other application components

Preferred Qualifications

• 5+ years developing modern full-stack web applications on client- and server- side web applications with Python and JavaScript/TypeScript
• Hands-on experience building applications with foundation models through direct API integration
• Proven ability to work with product, engineering, and design teams to identify user problems and translate them into technical solutions, leading the initiative for how to build delightful AI (generative) solutions
• Comfortable working across the full application stack
• Strong communication skills for working with cross-functional teams that are not on the technology side of the business
• An understanding of how to use tool calling, multi agents, etc. and some excitement about MCPs
• Working experience with Machine Learning (PyTorch, scikit-learn), training/deploying models with proprietary or Open Source models

Benefits

• Medical insurance, including a $0 premium HDHP plan for individuals, Dental, Vision, Telehealth and Virtual Primary Care Visits, OneMedical membership, Wellhub, and a $50 monthly benefit to improve your mental or physical health
• Stock options, 401(k) with a $2,000 match, FSA, HSA, and access to Origin Financial
• Flexible PTO, 12 weeks of paid parental leave with 2 weeks of transition time, $50 monthly connectivity reimbursement, and company-paid short-term disability, long-term disability, and life insurance, with additional voluntary benefits like supplemental life, AD&D, hospital indemnity, accident, and critical illness coverage
• $1,000 home office setup stipend and access to an Employee Assistance Program (EAP)