Staff Software Engineer-AI

About GoodLeap

GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America.

Position Summary

GoodLeap’s Consumer Solutions Business Unit is redefining how homeowners manage and benefit from sustainable home solutions. As a Staff Software Engineer, you will lead the design and delivery of our intelligent platform capabilities that power delightful, data-driven consumer experiences. This is a high-impact role for a technical leader who thrives on marrying architectural excellence with AI/LLM innovation. You’ll help shape how our systems interact with and serve personalized, secure, and scalable content across mobile and web apps, all while mentoring others and influencing the broader engineering culture.

Key Responsibilities

• Design and lead backend architecture that supports AI/ML-powered features across mobile and API surfaces
• Own end-to-end technical strategy for embedding LLMs, embedding stores, and personalized content delivery
• Partner with product and design to scope features, validate feasibility, and ensure execution aligns with business impact
• Build tools and services to help other team members experiment and ship AI-enhanced features responsibly and efficiently
• Influence engineering standards and promote excellence in observability, performance, and security
• Mentor engineers across teams, helping them level up in areas of backend architecture, AI integration, and delivery quality
• Collaborate with cross-functional partners across QA, Mobile, Data Science, Product, and Marketing

Required Qualifications

• 8+ years of experience in backend development, with at least 2+ years working with AI/ML solutions or LLM
• Experience working with vector databases, embeddings, and semantic search
• Familiarity with MLOps, CI/CD for AI pipelines, and AI observability tools
• Strong experience in Node.js, TypeScript, GraphQL, and REST APIs
• Deep familiarity with AWS architecture — especially Lambda, ECS, S3, DynamoDB, API Gateway, and Step Functions
• Experience building and integrating LLM features (e.g., via OpenAI, Claude, Vertex AI, or similar), including prompt design, vector storage, and retrieval strategies
• Fluency in system design principles, scalability, reliability, fault-tolerance
• Ability to drive clarity and make architectural tradeoffs, balancing idealism with pragmatism
• Strong communication and collaboration skills, able to work effectively across product and engineering orgs

Preferred Skills

• Experience with AWS Bedrock
• Familiarity with mobile tech stacks (Flutter, Kotlin, Swift)

Soft Skills & Culture Fit

• Strong collaboration skills with a willingness to mentor junior developers and contribute to code reviews.
• Problem-solving ability: capable of breaking down complex problems and taking ownership of tasks from start to finish.
• Customer-centric mindset: ability to align development decisions with delivering an excellent user experience.

Opportunities for Growth

At GoodLeap, there are always opportunities for team members to grow and advance within the company. As you outgrow your current role, we encourage you to explore new challenges and career paths.