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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 $27 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


We are looking for a highly experienced Staff Engineer with deep expertise in the software industry with emphasis on application development using Gen AI and Machine Learning. In this role, you will drive the architectural vision for our AI enterprise platform, ensuring we build scalable, reliable, and high-performance systems leveraging LLMs, Machine learning and agentic AI framework. You’ll partner with leadership, product, and engineering teams to shape the technical roadmap, mentor engineers, and solve complex problems that scale our AI systems to support rapid growth.


As a Staff Engineer, you will set technical direction, lead critical initiatives, and be a key decision-maker on AI strategies, ensuring our platform stays at the forefront of innovation and security.




Essential Job Duties and Responsibilities
  • Lead the design and development of large-scale, mission-critical AI enterprise agentic platform that integrates with other Goodleap systems and services.
  • Architect highly scalable, resilient, and secure systems that can handle large volumes and traffic.
  • Provide technical leadership across teams, guiding decisions on architecture, design patterns, and best practices.
  • Collaborate with product and engineering leaders to align technical solutions with business objectives.
  • Drive cross-functional projects to enhance the integration, reliability and performance of our AI enterprise platform.
  • Ensure compliance with industry regulations, including legal standards.
  • Mentor senior and mid-level engineers, fostering a culture of growth, learning, and technical excellence.
  • Evaluate and implement new emerging technologies and tools to continuously improve our systems and development processes.
  • Contribute to key architectural decisions, including the design of microservices and the adoption of new AI technologies including LLMs, Voice, Image etc.


Required Skills, Knowledge, and Abilities
  • 8+ years of experience in software engineering, with a strong background in building enterprise platforms at scale with expertise in AI/ML.
  • Experience in designing and deploying real-time LLM systems at scale.
  • Experience in evaluating, monitoring, and iterating on LLM solutions.
  • Experience in ML packages and tools, Tensorflow / PyTorch, Sagemaker, MLFlow, OpenAPI API
  • Expertise in Node, TypeScript, and Python. Knowledge of .NET is good to have
  • Strong expertise in designing systems for high availability, fault tolerance, and scalability.
  • Experience in cloud infrastructure (AWS) with a focus on performance, security, and monitoring.
  • Expertise in distributed systems architecture, microservices, and RESTful APIs.
  • 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.

Bonus Points (optional section)
  • Experience with integration of AI/ML solutions with Salesforce & Genesys
  • Experience in building multi-agent solutions and reinforcement learning
  • Experience in FinTech or other highly regulated industries.
  • Strong track record of managing complex technical debt and driving long-term architectural strategy.


$165,000 - $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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Average salary estimate

$182500 / YEARLY (est.)
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$165000K
$200000K

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GoodLeap has an ambitious mission: to connect a world in which everyone can live sustainably. GoodLeap provides frictionless, point-of-sale technology for countless mission-driven professionals and millions of people who seek to live a more susta...

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BENEFITS & PERKS
Dental Insurance
Disability Insurance
Flexible Spending Account (FSA)
Health Savings Account (HSA)
Vision Insurance
Performance Bonus
Family Medical Leave
Paid Holidays
SENIORITY LEVEL REQUIREMENT
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Full-time, remote
DATE POSTED
January 31, 2025

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