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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software and AI Engineer - **Company:** Coreweave Inc - **Location:** Northfield, MN, United States - **Experience:** Expert - **Salary:** $182,000.0 - $242,000.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, C Sharp (Programming Language), C++ (Programming Language), Computer Programming, Information Engineering, Data Warehousing, Cursor, Data Center Infrastructure Management (CIM), DevOps, Human Resources Information System (HRIS), Mobile Application Software, Python (Programming Language), Machine Learning, Node.Js, Cloud Services, Microsoft Copilot, TypeScript, Enterprise Data Management, Data Processing, Google Cloud, Cloud Platform System, LangChain, ReactJS, Large Language Models, Apache Spark, Boomi, Zapier, Generative AI, Backend, Agentic-AI, Fastapi, Build Management, Kubernetes, Information Technology, Apache Kafka, Machine Learning Operations, Front End Software Development, Claude, Api Design, Google Gemini, Restful APIs, GPT, Golang, Microservices - **Published:** October 2, 2026 - **Apply:** https://www.dice.com/job-detail/484a9f9b-89c9-4ea2-843d-cb1abc7c8834 ## About the Role * Programming Experience: 7+ years of professional programming experience in languages such as TypeScript, Python, Go, C++, C#, or Java, specifically for delivering production-grade cloud services. * Full-Stack Proficiency: Proven expertise in modern backend (e.g., FastAPI, gRPC) and frontend technologies (e.g., React, Next), including the development of scalable backend services in Node.js and Go. * AI/LLM Experience: Solid familiarity with Generative AI frameworks (LangChain, LangGraph, ChatGPT API, or Glean API) and experience shipping production-grade AI/ML/LLM-based applications, or strong desire to build them. * Architecture: Solid experience designing and implementing RESTful APIs, microservices, and event-driven integration architectures. * Cloud & DevOps: Strong understanding of cloud environments (AWS, Azure, or Google Cloud Platform), container orchestration (e.g., Kubernetes), and proficiency with DevOps and CI/CD principles. * Automation Tooling: 7+ years of experience in scripting (Python or Bash) for automation and tooling. Preferred: * Experience developing AI-powered or agentic applications integrated with complex enterprise data (ERP, HRIS, DCIM, Data Warehouse). * Proficiency with machine learning and data engineering platform tools (e.g., Ray, Kafka, Spark). * Experience with iPaaS platforms (Workato, Boomi) for building internal AI agents and copilots. * Exposure to the functional domains of Marketing, Finance, Billing, or Supply Chain where intelligent automation can drive measurable business efficiency. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. * You love to leverage cutting-edge GenAI tools (like Cursor, Claude, or Copilot) to accelerate your own development, testing, and documentation processes. * You're curious about designing solutions with user experience (UX) and long-term system maintainability as a top priority. * You're an expert in collaborating with non-technical stakeholders (like Finance and Accounting) to translate complex needs into intelligent, user-centered, and secure workflows. ## Description As a Software and AI Engineer, IT Systems, you'll design and develop AI agents and first-party applications that bring intelligence, automation, and great user experience to CoreWeave's internal ecosystem. You'll work across the stack ranging from agentics frameworks (using iPaas platforms like Workato) or latest software frameworks from LangChain, LangGrapsh, Cohere, ChatGPT agentflow, OpenAI API, Gemini agent flow, or Glean API to rich, React-based interfaces and mobile experiences to robust backend services written in Node.js and Go. What You'll Do: * Develop agents using AI capabilities into applications using frameworks such as LangChain, LangGraph, ChatGPT API, and Glean API * Design and build first-party web and mobile applications using React (TypeScript) and modern front-end frameworks * Develop scalable backend services in Node.js and Go for data processing, orchestration, and automation * Build internal AI agents and copilots that assist with tasks in Finance, Billing, and Supply Chain domains, integrating with systems like ERP, HRIS, MRP, DCIM, Data Warehouse among others - either natively or via an iPaaS like Workato or Boomi * Implement APIs and microservices that enable modular and event-driven application architectures * Leverage GenAI tools (Cursor, Claude, Copilot, ChatGPT Codex) to accelerate development, testing, and documentation * Ensure robust observability, maintainability, and security across the application stack * Collaborate with stakeholders in Finance, Accounting, Security, and Engineering to design intelligent, user-centered workflows ## Related Videos - [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Livecoding with AI](https://www.wearedevelopers.com/videos/1201-livecoding-with-ai) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) ## 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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [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)