Senior Software and AI Engineer

About the Role:

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 Core Weave’s internal ecosystem. You’ll work across the stack ranging from agentics frameworks (using iPaaS platforms like Workato) or latest software frameworks from Lang Chain, Lang Graph, 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.

• Develop agents using AI capabilities into applications using frameworks such as Lang Chain, Lang Graph, ChatGPT API, and Glean API
• Design and build first‑party web and mobile applications using React (Type Script) 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

• Programming
  
  Experience:
  
  3+ years of professional programming experience in languages such as Type Script, 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 (Lang Chain, Lang Graph, 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 & Dev Ops: Strong understanding of cloud environments (AWS, Azure, or GCP), container orchestration (e.g., Kubernetes), and proficiency with Dev Ops and CI/CD principles.
• Automation Tooling: 3+ years of experience in scripting (Python or Bash) for automation and tooling.

• 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 Finance, Billing, or Supply Chain where intelligent automation can drive measurable business efficiency.

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.

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition…