Senior Software and AI Engineer

Weights & Biases Weights & Biases · Data AI · Bellevue, WA +4 · Information Technology

This role focuses on developing AI agents and first-party applications for CoreWeave's internal ecosystem, integrating with enterprise systems and using frameworks like LangChain and LangGraph. The engineer will work across the full stack, from agentic frameworks to backend services and frontend interfaces, with a strong emphasis on building production-grade AI/LLM-based applications.

What you'd actually do

  1. Develop agents using AI capabilities into applications using frameworks such as LangChain, LangGraph, ChatGPT API, and Glean API
  2. Design and build first-party web and mobile applications using React (TypeScript) and modern front-end frameworks
  3. Develop scalable backend services in Node.js and Go for data processing, orchestration, and automation
  4. 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
  5. Implement APIs and microservices that enable modular and event-driven application architectures

Skills

Required

  • 3+ years of professional programming experience in languages such as TypeScript, Python, Go, C++, C#, or Java, specifically for delivering production-grade cloud services.
  • 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.
  • 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.
  • Solid experience designing and implementing RESTful APIs, microservices, and event-driven integration architectures.
  • Strong understanding of cloud environments (AWS, Azure, or GCP), container orchestration (e.g., Kubernetes), and proficiency with DevOps and CI/CD principles.
  • 3+ years of experience in scripting (Python or Bash) for automation and tooling.

Nice to have

  • 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.

What the JD emphasized

  • shipping production-grade AI/ML/LLM-based applications

Other signals

  • Develop agents using AI capabilities into applications using frameworks such as LangChain, LangGraph, ChatGPT API, and Glean API
  • Build internal AI agents and copilots that assist with tasks in Finance, Billing, and Supply Chain domains
  • Experience shipping production-grade AI/ML/LLM-based applications