Principal Product Software Engineer - AI

Key Responsibilities

• Build AI Agent Systems: Design and implement task-focused AI agents that assist thousands of professional’s audit work.
• Building Document understanding and structured-data extraction systems.
• Leading production-grade AI services and shipping working capabilities quickly and iterating with Product & customer teams.
• Cross-Portfolio Innovation: Work across TAA's product portfolio, enabling other teams while building AI solutions that can be applied to multiple products and customer segments.
• Technical Leadership: Design and implement AI features using Python and modern frameworks. Build intelligent document processing, automated workflows, and AI-powered analytics with a focus on security, product experience, and scalability.
• Close Collaboration: Work in Audit’s collaborative model where engineers understand business problems as deeply as technical solutions, partnering closely with product managers who prototype their own ideas.

Requirements

• Technical Foundation: Bachelor Degree in Computer Science or Equivalent
• 9+ years building software applications (experience with Python, Java or C++)
• 3+ years hands-on experience with LLMs or AI systems (NLP preferred)
• Full-stack development capabilities
• Experience with Agile/XP practices including TDD/BDD and pair programming
• Proficiency with AI coding tools (GitHub Copilot, Cursor, or similar)
• Regular use of GenAI utilities (ChatGPT, Claude, etc.) for development workflow
• Technical Project Leadership: 6+ years leading complex technical projects from inception to delivery
• Experience working in startup-like environments or innovation teams
• Comfort working in collaborative, fast-paced Agile environments with weekly sprints and blurred (but aligned) role boundaries
• Ai/ML Experience: Working knowledge of AI/ML frameworks (LangChain, LangGraph, Hugging Face, OpenAI APIs)
• Experience with vector, databases and embeddings
• Understanding of prompt engineering and AI optimization
• Communication Skills: Ability to explain technical concepts to non-technical stakeholders and drive adoption of new technologies across teams.