We are looking for a Senior Software Engineer for AI to join our engineering team. In this role, you will design, build, and ship AI-powered features that directly impact our platform and our clients' members. You'll collaborate closely with product, engineering, security, and data teams to integrate large language models and other AI/ML capabilities into Lumin's core products and developer tooling.
Essential Functions and Responsibilities:- Design and build AI-powered features across Lumin's digital banking platform, including natural language interfaces, intelligent assistants, and automated workflows
- Integrate LLMs and AI APIs (Anthropic Claude, OpenAI, etc.) into production systems with robust prompt engineering, output validation, and safety guardrails
- Evaluate AI outputs critically, ensuring accuracy, reliability, and compliance with financial services regulations
- Collaborate cross-functionally with product managers, designers, QE engineers, and other engineering teams to deliver end-to-end AI features
- Contribute to Lumin's internal AI knowledge base, documenting patterns, best practices, and learnings for the broader engineering organization
- Champion security and compliance in AI feature development, with awareness of fintech regulatory requirements (SOC 2, data privacy, etc.)
- Conduct and participate in code reviews, raising the technical bar for AI-related work across the organization
- Evaluate and recommend new AI tools and frameworks as the ecosystem evolves, helping Lumin stay at the forefront of applied AI in financial services
Position SpecificationsEducation: - Bachelor's degree in Computer Science or 5 years equivalent experience
Experience:- 5+ years of professional software engineering experience
- 1-2+ years of hands-on experience with AI/ML integration or LLM-based product development
- Proficiency with LLM APIs such as Anthropic Claude or OpenAI, including prompt engineering and tool/function calling
- Proficiency in TypeScript/Node.js
- Experience with RESTful APIs, microservices architecture, and cloud infrastructure (AWS preferred)
- Demonstrated ability to critically evaluate AI-generated outputs - knowing when to trust, verify, and push back
- Strong written and verbal communication skills; ability to explain complex AI concepts to non-technical stakeholders
Travel:
- Minimal, generally 12 days or less per year, ~2X team get togethers a year
Benefits include: Medical, dental, and vision insurance; 401(k) with company match; flexible PTO plus 12 paid holidays; paid sick leave; paid parental and family leave; lifestyle spending account; tuition reimbursement; and cell phone stipend. Additional details provided during the interview process.
