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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - AI Native Engineering - **Company:** CEdge Inc - **Location:** St. Louis, MO, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Cloud Engineering, Continuous Integration, Distributed Systems, Amazon DynamoDB, Identity and Access Management, Software Engineering, GitHub Copilot, Retrieval-Augmented Generation, System Availability, Large Language Models, Backend, AI Platforms, Kubernetes, Low Latency, Api Design, Terraform, Docker, Microservices - **Published:** September 30, 2026 - **Apply:** https://www.thejobnetwork.com/job/1bfb6daf-d2cc-4f5f-84eb-0dc33480b7b1/senior-software-engineer-ai-native-engineering ## About the Role * 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. Preferred Qualifications & Strong Signals Category Preferred Expertise & Tooling Extensibility Practical experience building or extending Model Context Protocol (MCP) servers. Agent Frameworks Hands-on experience with LangGraph, CrewAI, AutoGen, or AWS Bedrock Agents. Enterprise APIs Deep familiarity with production integration of Bedrock, Anthropic, and OpenAI APIs. Advanced RAG Experience with production-grade RAG: automated evaluations, re-ranking, and hallucination mitigation. Observability Proficiency with LLM-specific stacks: LangSmith, Langfuse, Braintrust, or W&B. ## Description 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. Key Responsibilities * 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., A history of building internal developer productivity tools or custom CLI utilities. What Success Looks Like in 6 Months * 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. ## Related Videos - [Engineering Mindset in the Age of AI - Gunnar Grosch, AWS](https://www.wearedevelopers.com/videos/1735-engineering-mindset-in-the-age-of-ai-gunnar-grosch-aws) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)