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 $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 Principal AI Engineer with strong expertise in AI/ML and scalable service architectures, along with experience and deep curiosity in Large LanguageModels (LLMs) and agentic systems. In this role, you will define the technical vision for integrating advanced AI-driven solutions into our loan and lease servicing platform, ensuring reliability, security, and efficiency at scale. You will collaborate closely with leadership, product, and engineering teams to develop AI-powered automation, intelligent decision-making systems, and next-generation agentic AI capabilities.
As a Principal AI Engineer, you will play an instrumental role in leading the transformation of GoodLeap's servicing business into a highly automated, scalable operation. Your vision and technical leadership will position us at the forefront of the industry, driving the adoption and development of state-of-the-art agentic AI solutions that shape the future of loan and lease servicing.
Key Responsibilities
- Architect and develop scalable AI-driven tools integrated with Large Language Models (LLMs) and multi-agent systems to drive automation and enhance decision-making.
- Build and implement retrieval-augmented generation (RAG) and knowledge management systems to enhance AI-powered insights and recommendations.
- Lead AI strategy, collaborating closely with engineering, data, and product teams to align AI initiatives with strategic business objectives.
- Evaluate and integrate third-party LLMs, AI models, APIs, and agentic frameworks.
- Mentor engineers on best practices in AI/ML, fostering a culture of continuous learning and technical excellence.
- Ensure AI solutions meet regulatory standards, including SOC 2, PCI-DSS, and ethical guidelines.
- Collaborate on model fine-tuning, deployment, and MLOps practices with assistance from other team members.
Qualifications
- 10+ years of experience in software engineering, with at least 2+ years working with AI/ML solutions or LLMs.
- Excellent leadership and problem-solving skills, with the ability to drive AI strategy at scale.
- Strong software architecture and design skills, with experience building and improving distributed systems and full-stack applications and web products
- Some hands-on experience with AI model development, fine-tuning, and deployment using frameworks like PyTorch, TensorFlow, Hugging Face.
- Significant hands-on experience with LLM APIs, agent frameworks, platforms, and protocols such as OpenAI API, AWS Bedrock, LangChain, Semantic Kernel, Model Context Protocol.
- Expertise in Python and TypeScript, with experience in building AI-driven backend systems.
- Experience in .NET (C#) preferred but not required.
- Experience working with vector databases, embeddings, and semantic search.
- Strong understanding of machine learning principles, prompt engineering, and AI inference optimization.
- Familiarity with MLOps, CI/CD for AI pipelines, and AI observability tools.
- Knowledge of financial services applications, including risk assessment, fraud detection, and AI-driven process automation.
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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