Senior Software Engineer for AI

Role Description

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.

• 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.

Qualifications

• Bachelor's degree in Computer Science or 5 years equivalent 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.

Requirements

• Minimal travel, generally 12 days or less per year, ~2X team get-togethers a year.

Benefits

• 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.
• Cell phone stipend.
• Additional details provided during the interview process.