Lead Software Engineer, Python, Full Stack / AI

What you'll do

• Build and maintain full-stack applications using React/TypeScript for UI dashboards and Python for backend servers.
• Develop and manage data pipelines and ETL processes on Databricks and Snowflake platforms.
• Integrate Large Language Models (LLMs) into the software engineering lifecycle as controlled, well-understood components.
• Translate business and regulatory requirements into technical specifications using LLM-driven structured requirements analysis.
• Establish best practices for prompt-driven design, treating prompts as versioned and reviewable engineering artifacts.
• Supervise agent-driven development to ensure model strengths, limitations, and risk profiles are documented and applied.
• Drive team adoption of AI-assisted engineering practices to improve code quality, delivery speed, and automated testing.
• Ensure all AI-driven systems meet enterprise reliability, security, and data sensitivity standards in regulated environments.

What we're looking for

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Strong Python skills and familiarity with agentic development (ADLC).
• Demonstrated engineering leadership, architecture, and stakeholder management skills.
• Database design and modeling on modern data platforms such as Databricks and Snowflake.
• Hands-on experience using Co-pilot or Claude-code to design and deliver end-to-end applications.
• Working understanding of multi-public cloud with exposure to AWS Cloud.
• Experience developing, debugging, and maintaining code in large corporate environments using modern programming and database querying languages.
• Experience in Risk and Pnl in Markets (preferred); knowledge of Financial Markets and Products (preferred).