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Staff Software Engineer, AI

Staff Software Engineer, AI

GoodLeapPlano, TX, US
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Job Description

Job Description

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.

Postion Summary

GoodLeap’s Business Solutions Business Unit is redefining how installers and homeowners interact with our point of sale financing platform. As a Staff Software Engineer , you will lead the design and delivery of our intelligent platform capabilities that power delightful, data-driven 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 building AI agents as code using solutions such as : Amazon Bedrock Agents, LangGraph, AWS Strands Agents, OpenAI Agents / Responses API
  • Experience creating custom tools and integrating them into the agent’s control loop
  • Experience working with Google’s A2A protocol
  • Soft Skills & Cultural 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 will support your development into new opportunities.
  • In addition to the above salary, this role may be eligible for a bonus.

    Additional Information Regarding Job Duties and Job Descriptions :

    Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position / department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law.

    If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you!  Apply today!

    We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our  Employment Privacy Policy  and  Recruiting Policy on AI .

    We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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