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Arcade AI

Forward Deployed Engineer

Austin, TX (Remote)fulltimemidAdded 1 month ago

About this role

This role involves working with a startup building infrastructure that enables AI agents to take real-world actions through tool-calling and integration platforms. You'll serve as the technical expert for enterprise customers, designing architectures and prototypes that connect AI systems to business applications.

What you'll do

  • Partner with sales teams on technical discovery and evaluations with enterprise stakeholders
  • Design and build custom prototypes, proof-of-concepts, and reference architectures showcasing platform capabilities
  • Provide technical consultation on AI agent architecture and integration strategy to customers
  • Gather market feedback and translate customer needs back to product and engineering teams
  • Navigate complex technical requirements in large deal cycles
  • Stay current with AI/LLM ecosystem trends (LangChain, LlamaIndex, vector databases)

What they're looking for

  • Integration platforms and systems architecture (iPaaS, ETL, RPA)
  • API design and SDK development
  • Modern programming languages (Python, JavaScript/TypeScript)
  • Enterprise security and governance frameworks
  • LLM orchestration and autonomous agent frameworks
  • Solutions architecture and pre-sales technical consulting
  • Communication and technical presentation skills
  • Understanding of AI/agentic systems
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Arcade AI

Arcade AI builds infrastructure that enables AI agents to take real-world actions by connecting language models to tools, integrations, and workflows. The company is hiring Applied AI Engineers, Solutions Architects, and Distributed Systems Engineers to design agentic tools, enterprise architectures, and scalable runtime systems.

View all jobs at Arcade AI

Likely interview questions

  • Walk us through your experience selling or consulting on highly technical infrastructure products. How did you break down complex systems for technical buyers, and what was the most challenging architecture decision you had to help a customer navigate?
  • Tell us about your hands-on experience with integration platforms or tools—whether iPaaS, ETL, RPA, or API gateways. How would you apply that experience to understanding agentic AI tool-calling and action-oriented infrastructure?
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