Staff Software Engineer, AI Platform

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


The Staff Software Engineer will be responsible for building, maintaining, monitoring, and scaling AI products and components in our portfolio. Applying engineering best practices to help ensure a culture of software quality and operational excellence throughout the organization. This role will work directly with Product Managers and other stakeholders to help define the product roadmap and provide input towards the overall technical strategy.



Essential Job Duties and Responsibilities

• Collaborate with product, architecture, and design leads to deliver highly-available, fault-tolerant products and services.
• Work on significant and unique technical challenges, evaluate and recommend solutions, and guide decision making by considering technical tradeoffs.
• Grasp both the technical and business perspective so you can help drive innovation
• Work autonomously and be self-disciplined, requiring no supervision or guidance
• Mentor and coach the team members to grow both their technical skills and soft skills.

Required Skills, Knowledge and Abilities

• Bachelor's degree
• 7+ years experience in backend software, ML, or AI engineering
• Highly proficient in ML and AI engineering tools, python/FastAPI, A2A protocol, agent design and evaluation, prompt and context engineering
• Adept with agile software development lifecycle and DevOps principles
• Passion for software development, emerging technologies and culture of innovation
• Excellent communication and interpersonal skills

Preferred Qualifications

• Experience with AWS cloud infrastructure, Terraform
• Full-stack experience building UIs (React/Flutter)
• Statistical & analysis skills, hypothesis testing, a/b testing, translating technical findings for business stakeholders

$173,000 - $200,000 a year


In addition to the above salary, this role may be eligible for a bonus and equity.



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!


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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.