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# Software Engineer (LLM & Enterprise AI Integrations)

- **Company:** Akaasa Technologies
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Code Review, Computer Programming, Continuous Integration, Github, Python (Programming Language), Node.Js, Cloud Services, Software Engineering, Systems Integration, TypeScript, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Generative AI, Microsoft Copilot Studio, Virtual Agents, Model Context Protocol
- **Published:** October 16, 2026
- **Apply:** https://www.careerjet.com/jobad/us9cf7fba2942281f3b3c34fcdfd22c2fc

## About the Role

We are seeking a Software Engineer to design, build, and deploy high-impact AI-driven applications and enterprise integrations. This role focuses on developing LLM-powered solutions utilizing robust RAG (Retrieval-Augmented Generation) and tool-calling architectures to solve complex business challenges. The ideal candidate will bring strong core engineering capabilities along with hands-on experience in cloud architectures and AI testing frameworks., * 5+ years of software engineering experience.

 * Core programming expertise in Python or Node/TypeScript.
 * Hands-on experience building LLM-powered applications, RAG architectures, and tool-calling integrations.
 * Experience integrating enterprise APIs and cloud platforms (Azure or equivalent).
 * AI Testing experience.

ADDITIONAL DESIRED SKILLS

 * Copilot Studio, LangChain/LangGraph, DeepAgents, and Multi-agent architectures.
 * Model Context Protocol (MCP) and Microsoft Graph integration.
 * Vector databases and AI security and governance.
 * GitHub CI/CD, Hosted Agents, and GitHub Advanced Security.

## Description

* Design, develop, and maintain robust LLM-powered applications using Python or Node/TypeScript.
 * Implement and optimize Retrieval-Augmented Generation (RAG) and tool-calling architectures.
 * Integrate enterprise APIs, systems, and cloud services (Azure or equivalent).
 * Execute comprehensive AI testing methodologies to ensure performance, reliability, and security.
 * Collaborate with cross-functional teams to translate complex requirements into scalable technical implementations.
 * Participate in code reviews, CI/CD deployment pipeline maintenance, and continuous software improvement., An experienced Software Engineer with 5 7 years of overall technical experience and a strong background in productionizing modern AI solutions. The candidate should demonstrate a methodical engineering mindset, strong API integration capabilities, and experience operating effectively within cloud and enterprise environments.