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GoodLeapRemote$173k – $200kPosted 26 March 2026
Tech Stack
Job Description
Staff Software Engineer AI
Roseville, CA - HQ / Austin, TX / Lehi, UT / Plano, TX / San Francisco, CA / West Palm Beach, FL / Bentonville, AR / Dallas, TX / Irvine, CASoftware Engineering – Engineering /Full Time /Hybrid
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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.
This is a hybrid role reporting one day a week into the nearest tech hub.
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 taki ... (truncated, view full listing at source)
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