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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agentic AI Software Engineer - **Company:** EPICSOFT CORPORATION - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $170,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computing Platforms, Automation of Tests, Microsoft Azure, Business Software, C Sharp (Programming Language), Cloud Computing, Continuous Integration, Python (Programming Language), Knowledge Management, Machine Learning, Microsoft Software, Scrum Methodology, Cloud Services, Search Technologies, Software Engineering, SonarQube, TypeScript, AWS Cdk, Spring Cloud, ReactJS, Large Language Models, Multi-Agent Systems, Generative AI, AWS Lambda, Backend, Fastapi, Front End Software Development, Virtual Agents, Service Stack - **Published:** June 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e69bc5a3d17b9f54 ## About the Role Do you have experience in Validation design?, * 7+ years of full-stack software engineering experience * Proven experience building and deploying production software applications * Experience developing agentic AI workflows and multi-agent systems * Strong React development experience * Strong Python development experience * Strong TypeScript development experience * Experience working within or alongside C#/.NET environments * Experience with AWS cloud services * Experience with AWS CDK and Infrastructure as Code * Experience with CI/CD pipelines and automated quality controls * Experience designing or contributing to LLM evaluation and benchmarking frameworks * Experience working directly with business stakeholders and translating requirements into delivered solutions * Ability to independently design, prototype, and iterate on new solutions Preferred Qualifications * Experience with OpenAI APIs * Experience with Retrieval-Augmented Generation (RAG) * Experience with embeddings and vector search * Experience with Model Context Protocol (MCP) * Experience building AI-powered business applications * Experience supporting document-processing or knowledge-management platforms * Experience with Azure environments and Microsoft technologies * Experience in enterprise or highly regulated environments Technology Stack Frontend * React Backend * Python (FastAPI) * TypeScript * C# / .NET Cloud & Infrastructure * AWS Lambda * AWS CDK * Infrastructure as Code * CI/CD Pipelines AI Technologies * OpenAI APIs * Agentic AI Workflows * Multi-Agent Systems * RAG * Embeddings * MCP Quality & Delivery * SonarQube * Automated Testing * CI/CD Validation Gates What We're Looking For You may be a strong fit if you: * Have built and shipped production AI applications * Enjoy solving business problems through technology * Can work directly with stakeholders and users * Take ownership from concept to deployment * Thrive in small, high-impact engineering teams * Enjoy learning and experimenting with emerging AI technologies * Are comfortable operating in a fast-moving environment with significant autonomy, * Full-stack development: 7 years (Required) ## Description We are seeking a Senior Agentic AI Software Engineer to join an innovative AI engineering team within a global enterprise organization. This is a hands-on full-stack engineering role focused on building production-grade AI applications, agentic workflows, internal intelligence platforms, and business automation solutions. This is not a machine learning research or data science position. We are looking for engineers who enjoy building and shipping products that solve real business problems. You will work within a small, highly collaborative engineering team responsible for designing, developing, deploying, and supporting AI-powered business applications used across critical business functions. What You'll Do Agentic AI Development * Design and develop role-specific AI agents and multi-agent orchestration workflows * Build AI solutions that automate business processes and decision-making * Implement tool-calling, workflow automation, and intelligent routing capabilities * Develop production-ready AI applications beyond traditional chatbot implementations AI Knowledge & Intelligence Platforms * Build internal knowledge management and intelligence systems * Design solutions that capture and organize information from multiple sources * Develop workflows that enrich, classify, and route business information * Support client and relationship intelligence initiatives LLM Evaluation & Benchmarking * Design and enhance LLM evaluation frameworks * Build benchmarking and validation pipelines * Measure extraction accuracy and model performance * Improve reliability and quality across large-scale document-processing workflows React Platform Development * Develop and enhance React-based user interfaces * Contribute to and maintain reusable component libraries * Build AI-driven user experiences, including streaming responses and document-review workflows * Support adoption of frontend standards across engineering teams Full-Stack Engineering & Cloud Deployment * Develop backend services using Python and TypeScript * Build cloud-native applications in AWS environments * Deploy and manage infrastructure using Infrastructure as Code * Own the complete software lifecycle from design through production support * Participate in CI/CD, automated testing, and quality-control processes Business Partnership * Work directly with business stakeholders to understand requirements * Translate business needs into technical solutions * Participate in sprint planning and prioritization discussions * Communicate timelines, progress, and recommendations to both technical and non-technical audiences, * 100% Remote * Eastern Time Zone preferred * Occasional travel (3-4 times per year) * Direct collaboration with senior leadership and business stakeholders * Opportunity to influence the future direction of AI initiatives across the organization If you're passionate about building production AI systems, modern software platforms, and next-generation business applications, we'd love to hear from you. Pay: $170,000.00 - $200,000.00 per year ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Agentic DevOps: How AI-Powered Automation Transforms Software Delivery on GitHub and Azure](https://www.wearedevelopers.com/videos/1539-agentic-devops-how-ai-powered-automation-transforms-software-delivery-on-github-and-azure) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Building and Modernising Apps with Agentic AI - Julia Kordick](https://www.wearedevelopers.com/videos/1832-building-and-modernising-apps-with-agentic-ai-julia-kordick) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)