GoodLeap

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 deep expertise in AI/ML, Large Language Models (LLMs), and scalable service architectures. In this role, you will define the technical vision for integrating 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 natural language processing (NLP) capabilities.

As a Principal AI Engineer, you will drive cutting-edge AI implementations, lead mission-critical AI initiatives, and shape the evolution of our servicing solutions to support business growth and industry leadership.

Key Responsibilities

• Architect and develop AI-driven servicing solutions, leveraging LLMs, NLP, and machine learning models to enhance automation, decision-making, and customer interactions.
• Design and optimize AI model pipelines, ensuring scalability, security, and regulatory compliance in financial services applications.
• Lead AI strategy and technical direction, collaborating with engineering, data teams, and product teams to align AI initiatives with business objectives.
• Drive AI model training, fine-tuning, and deployment for use cases such as conversational AI.
• Implement retrieval-augmented generation (RAG), vector search, and embeddings to improve AI-driven insights and recommendations.
• Ensure AI system observability, interpretability, and fairness, applying MLOps best practices for robust AI deployment and monitoring.
• Evaluate and integrate third-party AI models and APIs.
• Mentor engineers on AI/ML best practices, fostering a culture of continuous learning and technical excellence.
• Collaborate with security and compliance teams to ensure AI solutions meet regulatory standards, such as SOC 2, PCI-DSS, and AI ethics guidelines.

Qualifications

• 10+ years of experience in software engineering, with at least 3+ years working with AI/ML solutions and LLMs.
• Strong experience in AI model development, fine-tuning, and deployment using frameworks like PyTorch, TensorFlow, Hugging Face Transformers, or OpenAI APIs.
• Expertise in .NET (C#) and/or Python, with experience in building AI-driven backend systems.
• Experience working with vector databases, embeddings, and semantic search.
• Strong understanding of machine learning principles, prompt engineering, and AI inference optimization.
• Experience deploying AI models in cloud environments (Azure, AWS, or GCP), leveraging serverless, Kubernetes, or GPU-based infrastructures.
• Familiarity with MLOps, CI/CD for AI pipelines, and AI observability tools (Weights & Biases, MLflow, or SageMaker).
• Knowledge of financial services applications, including risk assessment, fraud detection, and AI-driven process automation.
• Excellent leadership and problem-solving skills, with the ability to drive AI strategy at scale.

Bonus Points

• Experience working with LLM architectures (GPT, Claude, LLaMA, or open-source alternatives).
• Hands-on experience with retrieval-augmented generation (RAG) and knowledge graphs.
• Experience with SMS and Voice based conversational AI using OpenAI, Google, xAI models/APIs.
• Experience integrating AI with microservices and event-driven architectures.

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!