> Markdown version of [/jobs/ext/248065-software-engineer-agentic-ai-ai-data-platforms](https://www.wearedevelopers.com/jobs/ext/248065-software-engineer-agentic-ai-ai-data-platforms). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer (Agentic AI), AI & Data Platforms - **Company:** Quantum Technologies - **Location:** Austin, TX, United States - **Experience:** Experienced - **Salary:** $104,000.0 - $114,400.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Programming Tools, Python (Programming Language), Software Engineering, Systems Integration, TypeScript, Large Language Models, Multi-Agent Systems, Prompt Engineering, Reliability of Systems, Backend, Data Management, Machine Learning Operations, Virtual Agents - **Published:** May 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f842b1458ba4df94 ## About the Role Do you have experience in Prompt engineering?, * Backend & AI: Strong Python or TypeScript backend development experience (4+ years). * Agent Frameworks: Experience with LangGraph, AutoGen, or CrewAI. * LLM Harnessing: Expertise in agentic loops, RAG, prompt engineering, and tool calling. * Preferred: Knowledge of MLOps, LLMOps, and platform engineering. ## Description The Developer Experience Platform team is building an AI-powered platform to transform software development through agentic workflows, integrating LLMs into internal developer tools., * Backend Engineering: Develop backend services and orchestration systems for multi-agent workflows. * Agentic AI & RAG: Build intelligent agents focusing on RAG, agentic loops, and multi-step reasoning. * Tool Calling: Develop frameworks for agents to interact with APIs and enterprise services. * System Reliability: Evaluate agent reliability and task completion in production. ## Related Videos - [Guiding Agentic AI with Vue](https://www.wearedevelopers.com/videos/2033-guiding-agentic-ai-with-vue) - [Architecting the Future: Leveraging AI, Cloud, and Data for Business Success](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [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) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) ## 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) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Prompt Engineering is a Job of the Past](https://www.wearedevelopers.com/magazine/342-prompt-engineering-is-a-job-of-the-past) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)