Principal AI Engineer - Servicing Solutions

Principal AI Engineer – Servicing Solutions

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
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

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