Senior Software Engineer – AI Native Engineering

We are seeking a battle-hardened Senior Software Engineer to lead the transition from traditional software development to AI-Native Engineering. This is a high-impact production-focused role. This is not a research position nor is it a playground for prototypes; you will be responsible for architecting shipping and maintaining the agentic workflows and developer enablement platforms that define our core engineering future.

The ideal candidate views LLMs as a fundamental compute primitive. You are someone who has moved beyond "prompting" and into building robust autonomous systems. Your daily drivers include GitHub Copilot and Claude Code CLI and you have a proven track record of shipping complex backend systems at scale on AWS.

Architecting Agentic Systems: Design and deploy production-grade agentic workflows that orchestrate multi-step tasks utilizing LLMs for reasoning and autonomous execution.

Modern Cloud-Native Backend: Build and scale distributed systems on AWS ensuring high availability performance and security for all AI-integrated services.

AI-Assisted Velocity: Champion AI-native development workflows maintaining an elite delivery pace through the expert use of AI coding assistants and mentoring the broader team on these methodologies.

Developer Enablement Platforms: Build internal tools and extend Model Context Protocol (MCP) servers to allow product teams to integrate AI capabilities seamlessly and safely.

LLM Observability & Governance: Implement comprehensive monitoring (latency cost token usage) and rigorous evaluation frameworks to mitigate hallucinations and ensure reliability.

Engineering Excellence: Maintain a rigorous standard for CI/CD containerization (Docker/Kubernetes) and Infrastructure-as-Code (Terraform/CDK) in an AI-driven environment.

Senior Experience: 8 years of professional software engineering experience in enterprise-grade production environments.

Active IC Coding: You must be a hands-on builder with significant code contributions in a production codebase within the last 6 months.

AI Tooling Mastery: Daily expert-level use of GitHub Copilot Claude Code CLI or similar AI-assisted development tools.

Shipped AI Systems: You have personally architected and delivered at least one agentic or LLM-powered system to production that handled real-world traffic.

AWS Depth: Expert knowledge of the AWS ecosystem specifically Bedrock Lambda ECS/EKS DynamoDB and IAM.

Software Fundamentals: Deep expertise in microservices distributed systems architecture API design (REST/gRPC) and automated testing.

30 Days: You have integrated into the Core Engineering team established an elite development velocity using AI-native tools and contributed to the existing AI platform codebase.

90 Days: You have architected and shipped a production-ready agentic workflow that measurably improves developer productivity or automates a core operational bottleneck.

180 Days: You have established a standardized framework for LLM observability and governance across the organization enabling three or more product teams to deploy AI features with confidence.