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# Senior Agentic Software Engineer

- **Company:** Eliassen Group
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $205,920.0 - $237,120.0
- **Contract:** Contract
- **Skills:** Clean Code Principles, Java (Programming Language), Multitier Architecture, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Frameworks, User Authentication, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Code Coverage, Code Generation, Code Review, Databases, Continuous Integration, Data Structures, Software Debugging, Software Design Patterns, Distributed Systems, DOS (Disk Operating System), Python (Programming Language), Systems Development Life Cycle, Service-Oriented Architecture, SQL Injection, Systems Integration, Strategies of Testing, TypeScript, Enterprise Software Applications, GitHub Copilot, LangChain, Large Language Models, Claude Code, AgentCore, Cross-Site Scripting (XSS), Agentic-AI, Event Driven Architecture, Kubernetes, CrewAI, AutoGen, Api Design, Semantic Kernel, Code Restructuring, Serverless Computing, Human in the Loop
- **Published:** October 20, 2026
- **Apply:** https://www.dice.com/job-detail/470eceb1-5eb4-4bec-8eb5-840fc09b1808

## About the Role

* 5+ years designing, building, and delivering enterprise software to production with a proven record in fast-paced environments.
 * Ability to work independently with minimal supervision and own outcomes end to end; portfolio preferred.
 * Expert fundamentals in data structures, algorithms, design patterns, SOLID, clean code, testing strategies, and refactoring.
 * Proficiency in one or more languages such as C#, Java, Python, TypeScript, or Go.
 * Deep understanding of API design and distributed systems.
 * Strong experience with automated testing including unit, integration, and contract testing, and with TDD.
 * Experience managing and optimizing databases.
 * Extensive code review experience and ability to validate AI-assisted and agent-generated code using tools such as GitHub Copilot, Claude Code, Kiro, or OpenSpec.
 * Hands-on experience with Spec-Driven Development and translating complex problems into structured specifications.
 * Cloud experience on AWS and/or Azure, with knowledge of agent architectures, orchestration frameworks, MCP, tool integrations, and human-in-the-loop workflows.
 * Experience with event-driven architectures, serverless, containers, CI/CD, and Infrastructure as Code; able to set up CI/CD independently.
 * Familiarity with observability, telemetry, and operational monitoring.
 * Product collaboration experience for estimates, feasibility, and technical tradeoffs on cross-functional teams.
 * Security knowledge including authentication, authorization, encryption, secure SDLC, and mitigation of risks such as SQL injection, DoS, and XSS, with attention to AI-generated code.
 * Preferred: experience with AWS AgentCore; frameworks such as Strands, LangChain, Semantic Kernel, AutoGen, or CrewAI; building MCP servers and tool ecosystems; designing agents for enterprise workflows; creating engineering standards and reusable frameworks; evaluating emerging AI technologies for enterprise use.

## Description

* Design and implement agentic AI solutions using modern LLMs, AI agents, MCP integrations, orchestration frameworks, and cloud-native services.
 * Build production-ready AI-enabled applications on AWS and Azure, including agent runtimes such as AWS AgentCore.
 * Create reusable frameworks, accelerators, templates, and patterns to increase delivery capacity.
 * Balance autonomous agent behavior with human oversight, governance, and security controls.
 * Apply disciplined engineering practices including clean architecture, design patterns, test coverage, documentation, and maintainable code.
 * Practice TDD, refactoring, CI, and methodical debugging with root-cause analysis.
 * Perform thorough code reviews for human-written and agent-generated code with focus on correctness, security, performance, and maintainability.
 * Identify and remediate defects common in agent output, including hallucinated APIs, weak error handling, insecure patterns, duplication, and ineffective tests.
 * Lead Spec-Driven Development, translating goals into clear, testable specifications and improving SDD practices and tooling.
 * Partner with product owners on estimation, feasibility, tradeoffs, risk identification, and re-planning as priorities shift.
 * Design and implement APIs, MCP servers, integrations, and event-driven or service-oriented architectures.
 * Integrate enterprise systems, knowledge repositories, and workflows into agentic ecosystems and contribute to platform standards.
 * Mentor junior engineers and upskill teams in SDD, agentic engineering, and software fundamentals.
 * Communicate clearly with stakeholders and provide proactive status, risks, and blockers.