Software Development Engineer

Who you are

• 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
• 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 the job involves

• We're looking for a Software Development Engineer (SDE) who wants to build AI-powered production systems inside strategic enterprise customers — and who thrives in high-ownership environments where delivery speed and customer outcomes matter more than process
• You'll embed directly within a customer's engineering team to independently design, build, deploy, and run AI workstreams end-to-end
• Our teams deliver agentic AI solutions — platforms where AI agents and human practitioners collaborate as a unified delivery system — reducing migration timelines from years to months and cutting costs dramatically
• You'll own complete delivery from requirements gathering through production deployment, combining the technical rigor of an traditional SDE with the urgency required to ship measurable customer business outcomes
• This is a hands-on builder role. You'll write production-grade code every day, make design trade-offs with appropriate guidance, ship features across the full software lifecycle, and take ownership of workstreams serving Fortune 500 customers
• You won't just write code that ships to customers — you'll be on-site watching it work, debugging it in real time, and iterating based on what you learn
• You'll deliver production AI systems spanning the enterprise cloud migration lifecycle. The work covers several domains:
• Agentic AI — AI agents that autonomously handle migration tasks (discovery, wave planning, runbook generation, infrastructure provisioning) while coordinating with human consultants
• Orchestration and workflow — the coordination layer that enables multiple agents and humans to work in parallel with shared context and minimal overhead
• Platform infrastructure — shared services (project datastores, external system connectors, agent lifecycle management) that underpin the ecosystem
• AWS Transform integration — bidirectional data and workflow connectivity with AWS's flagship enterprise modernization service
• Custom solutions — designing and deploying customer-specific agents and integrations that solve problems unique to their environment
• All of it involves building agentic AI systems at production scale with real users, real constraints, and direct accountability to the customer
• Why This Role?
• You'll build and deliver, not advise — you own your workstreams end-to-end. You're accountable for working software in production, not slide decks or recommendations
• AI-native problems from day one — every engagement involves designing agents, orchestrating them, evaluating their outputs, or making them extensible. You'll work at the frontier of applied AI engineering
• Real ownership with real stakes — you'll own the delivery of complete AI workstreams where the customer is watching. There's nowhere to hide and no shortage of interesting problems
• Full-stack exposure — React frontends, Python services, AWS CDK infrastructure, AI agent logic. You'll touch it all, and you'll need to
• Direct customer impact — you won't hear about customer outcomes secondhand. You'll be sitting with the customer when the system you built goes live, and you'll iterate on it together
• Accelerated growth — you'll develop faster than in a traditional SDE role because you're solving problems end-to-end in high-pressure environments. You'll work alongside senior and principal engineers who will challenge you and expand your technical scope
• Coaching opportunity — you'll coach customer engineers and new team members on producing high-quality code, raising the bar across every engagement
• Travel requirement: This role requires 30–50% travel