Skip to main content

Staff Software Engineer, AI

Posted today

goodleapPlano (TX)

SENIORITY

Lead

SALARY

$170,500 per year

Apply (opens in a new tab)

About the role

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. We are seeking a highly skilled Staff Software Engineer to bring technical excellence, initiative and leadership to our team. As a Staff Engineer, you will play a critical role in designing, developing, and scaling our platform. We are building a new revenue path for GoodLeap, a project with direct executive attention and real momentum behind it. This is one of the most exciting areas of the company to be a part of right now. This is a great opportunity for someone who thrives in a fast-paced environment and is eager to take ownership of key initiatives within a growing company. You'll work closely with cross-functional teams, including product managers, designers, and other engineers, to build solutions that are reliable, secure, and optimized for performance. Driving our AI strategy is central to this role, building and shipping Agents powered by LLMs and other AI technologies. This is a full-stack role with deep ownership, from backend services to frontend performance, from planning phases to production launches.
Key Responsibilities: Lead the design and development of large-scale applications, for both frontend and backend components. You’ll contribute across the stack, whether it’s modern Mobile UIs, React components or high-performance backend services. Architect highly scalable, responsive, and secure solutions to support AI/ML-powered features across Web, Mobile, SMS/Voice, and API surfaces Own end-to-end technical strategy for embedding LLMs, embedding stores, and personalized content delivery Hands-on experience designing and implementing agentic workflows using LLMs, including orchestration across APIs, tools, and data sources Familiarity with MLOps, CI/CD for AI pipelines, and AI observability tools Experience developing and deploying MCP Servers and working with the Model Context Protocol ecosystem Provide technical leadership across teams, guiding decisions on architecture, design patterns, and best practices. Drive cross-functional projects to enhance the reliability and performance of our applications. Ensure compliance with security best practices and data privacy regulations. Mentor senior and mid-level engineers, fostering a culture of growth, learning, and technical excellence. Communicate clearly, engage with stakeholders, product managers and cross-functional teams to align on goals, share progress and manage expectations.
Required Qualifications: 8+ years of experience in software engineering, with a strong background in building full-stack applications at scale, with at least 2+ years working with AI/ML solutions or LLMs Experience with NodeJS, React and Typescript Experience with state management solutions (Redux or similar) Deep understanding of architecture and best practices, including RESTful APIs, databases, secure coding, and responsive design. Experience in cloud platforms such as AWS, Azure, or Google Cloud, with a focus on performance. Strong knowledge of application lifecycle, navigation patterns, and data security. Expertise in designing systems for high availability, fault tolerance, and scalability. Ability to influence technical direction and work cross-functionally with product, engineering, and executive teams. Strong leadership skills, with a proven ability to mentor and lead engineering teams. Strong analytical and problem-solving skills, with an ability to thrive in a fast-paced, dynamic environment. Strong communication skills Preferred SkillsExperience in FinTech Experience in Langfuse and Flutter CA, WA, NJ, MA, DC, NYC range: $170,500 - $193,500 Rest of US Range: $155,400 - $175,900 SF Range: $188,300 - $212,900 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. 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 ourEmployment Privacy PolicyandRecruiting Policy on AI .

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this