Senior Software Engineer - AI Native Engineering

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

Job Description

CEdge has an opportunity for a Senior SoftwareEngineer – 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!

Position Overview

We are seeking a battle-hardened SeniorSoftware Engineer to lead the transition from traditional software developmentto 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 beresponsible for architecting, shipping, and maintaining the agentic workflowsand 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 dailydrivers include GitHub Copilot and Claude Code CLI, and you have a proven trackrecord of shipping complex backend systems at scale on AWS.

Key Responsibilities

• 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 scaledistributed systems on AWS, ensuring high availability, performance, andsecurity for all AI-integrated services.
• AI-Assisted Velocity: Champion AI-nativedevelopment workflows, maintaining an elite delivery pace through the expertuse of AI coding assistants and mentoring the broader team on thesemethodologies.
• Developer Enablement Platforms: Build internaltools and extend Model Context Protocol (MCP) servers to allow product teams tointegrate AI capabilities seamlessly and safely.
• LLM Observability & Governance: Implementcomprehensive monitoring (latency, cost, token usage) and rigorous evaluationframeworks to mitigate hallucinations and ensure reliability.
• Engineering Excellence: Maintain a rigorousstandard for CI/CD, containerization (Docker/Kubernetes), andInfrastructure-as-Code (Terraform/CDK) in an AI-driven environment.

Must-Have Requirements

• Senior Experience: 8+ years of professionalsoftware 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 personallyarchitected and delivered at least one agentic or LLM-powered system toproduction that handled real-world traffic.
• AWS Depth: Expert knowledge of the AWSecosystem, specifically Bedrock, Lambda, ECS/EKS, DynamoDB, and IAM.
• Software Fundamentals: Deep expertise inmicroservices, distributed systems architecture, API design (REST/gRPC), andautomated 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.
• Deep familiarity with production integrationof 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.
• Productivity
• A history of building internal developerproductivity tools or custom CLI utilities.

What Success Looks Like in 6Months

• 30 Days: You have integrated into the CoreEngineering team, established an elite development velocity using AI-nativetools, and contributed to the existing AI platform codebase.
• 90 Days: You have architected and shipped aproduction-ready agentic workflow that measurably improves developerproductivity or automates a core operational bottleneck.
• 180 Days: You have established a standardizedframework for LLM observability and governance across the organization,enabling three or more product teams to deploy AI features with confidence.

WHAT’S IN IT FOR YOU?

• Full Benefits Package
• 10 Days PTO
• 6 Sick leaves
• 401K

WHO ARE WE?

CEdge Inc is an innovative IT consulting firm, and a strategic business partner. We offer IT solutions to Federal and State government, as well as, Commercial Enterprises throughout the United States. Our main objective is to create an integrity-based culture that takes pride in working as a collaborative team that focuses on growth and is driven by the desire to provide purely ethical services for both our clients and teammates.

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