Senior Lead Software Engineer - Python - AI/LLM

What you'll do

• Build and maintain Python tools, data pipelines, integrations, APIs, and LLM-based agent workflows, including RAG, orchestration, evaluation, and guardrails.
• Deliver secure, tested, observable production software; participate in code reviews, incident response, and operational improvements.
• Promote governed AI-assisted engineering practices and collaborate with product, risk, controls, compliance, and data teams.

What they ask for

• Formal training or certification in software engineering concepts and applied experience.
• Experience leading enterprise-authorized AI-assisted software development and setting standards for validating AI outputs; understanding of responsible AI and secure data handling.
• Strong production system design and application development skills, including ownership of delivery, stability, incident response, and improvement.
• Advanced Python (3.10+), SQL/data modeling, generative AI/LLM solutions, authenticated API integrations, secure systems, data engineering, and modern Python CI/CD experience.

Nice to have

• Risk management or regulated-environment experience; LLM agent/skill systems, RAG design, or MCP tooling.
• Interactive HTML/CSS/JS reporting and exposure to distributed computing or cloud data platforms.

Tools

Python, PostgreSQL, SQL, REST, WebSocket, pytest, Chart.js, Databricks

AI focus

Builds LLM-based risk-oversight services using RAG, tool/function calling, agent orchestration, evaluation, and guardrails; also drives responsible, governed use of AI-assisted engineering tools.