Principal Ai Engineer

Summary

Join GoodLeap as a Principal AI Engineer and lead the integration of advanced AI-driven solutions into our loan and lease servicing platform. You will define the technical vision, ensuring reliability, security, and efficiency at scale. Collaborate with cross-functional teams to develop AI-powered automation and intelligent decision-making systems. This role requires significant experience in AI/ML, LLMs, and scalable service architectures. You will mentor engineers and ensure AI solutions meet regulatory standards. GoodLeap offers a competitive salary, bonus, and equity.

Requirements

• 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 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

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

Preferred Qualifications

Experience in .NET (C#) preferred but not required

Benefits

• $191,000 - $222,000 a year
• Bonus
• Equity