Senior Software Engineer – AI Native Engineering

63203, United States | Posted on 09/25/2026

CEdge has an opportunity for a Senior Software Engineer – AI Native Engineering, This role is located in St. Louis/ O'Fallon,MO .If you are ready to work alongside World Renowned Technology experts, and carry the skills below, this is the opportunity that will inevitably take your career to unbelievable levels!

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. Thisis 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 afundamental compute primitive. You are someone who has moved beyond"prompting" and into building robust, autonomous systems. Your daily drivers include Git Hub 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 anddeploy 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 expertuse 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-onbuilder with significant code contributions in a production codebase within thelast 6 months.
• AI Tooling Mastery: Daily, expert-level use ofGitHub 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.

Category

• Extensibility
• Practical experience building or extending Model Context Protocol (MCP) servers.
• Agent Frameworks
• Hands-on experience with Lang Graph, CrewAI,Auto Gen, or AWS Bedrock Agents.
• 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:
  
  Lang Smith, Langfuse, Braintrust, or W&B.
• Productivity
• A history of building internal developer productivity tools or custom CLI utilities.

• 30 Days: You have integrated into the Core Engineering team, established an elite development…