Requirements

• Experience programming with at least one software programming language
• Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
• 3+ years of non-internship professional software development experience

Nice to Haves

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Experience building or deploying AI/ML applications in production environments
• Experience with agentic workflows, RAG pipelines, or foundation model integration
• Experience mentoring junior engineers
• Experience working in customer-facing or consulting-adjacent engineering roles

What You'll Be Doing

• Delivering production AI systems spanning the enterprise cloud migration lifecycle
• Building Agentic AI, Orchestration and workflow, Platform infrastructure, AWS Transform integration, and Custom solutions
• Writing production-grade code, making design trade-offs, shipping features, and taking ownership of workstreams
• Working at the frontier of applied AI engineering with real users and direct accountability to customers

Perks and Benefits

• Building and delivering end-to-end workstreams with real ownership
• Solving AI-native problems with real stakes and direct customer impact
• Full-stack exposure handling React frontends, Python services, AWS CDK infrastructure, AI agent logic
• Accelerated growth and coaching opportunities in high-pressure environments
• Travel requirement of 30-50%