Full Stack Engineer

What you'll do

• Build full-stack applications end to end: data layer, Python APIs, and React/Tailwind front ends that surface data and AI capabilities to users
• Develop and maintain Python APIs (FastAPI or similar) that connect data foundations to client-facing products and agentic systems
• Use Claude Code, Cursor, and other AI coding tools as a daily driver to ship features faster while maintaining quality
• Where AI capability is relevant, build agentic features and tool-use patterns that automate tasks
• Set the QA and data quality bar for the engineering team: write tests, build data validation frameworks, and instrument observability
• Mentor mid-level engineers through code reviews, pairing, and technical guidance on full-stack practices
• Collaborate with onshore leads across the engineering and craft practitioners on architecture decisions, standards, and business requirements
• Contribute to reusable component libraries, Claude Code & Cursor skills, and shared platform services that scale across clients
• Partner with product designers and BI to turn static reporting into interactive, AI-powered experiences

Requirements

• 8 - 10 years of professional software engineering experience with deep Python expertise
• Demonstrated ability to build full-stack applications end to end, including React + Tailwind CSS front ends
• Strong experience designing and building production APIs in Python (FastAPI, Flask, or similar)
• Expert-level proficiency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot) including agentic coding patterns, context engineering, and shipping production code with these tools daily
• Solid grasp of QA practices and data quality engineering: unit and integration testing, data validation, and observability
• Experience with cloud infrastructure (Azure preferred) and modern deployment patterns (containers, CI/CD)
• Strong written and verbal communication for collaboration across distributed onshore and offshore teams
• Preferred: Hands-on experience with LLM application development: prompt engineering, RAG, function calling, and agent frameworks (LangChain, LangGraph, CrewAI)
• Preferred: Background in media, advertising, or marketing technology data environments
• Preferred: Experience with Unity Catalog governance, including attribute-based access control and tag-driven policies
• Preferred: Experience building MCP servers or integrating MCP into developer workflows
• Preferred: Open-source contributions or public projects demonstrating full-stack or AI engineering work

Tech stack