Arcadeai

Arcadeai

Forward Deployed Engineer

Austin, TX

Sponsorship not specifiedDetected 15 days ago
JavaScriptTypeScriptPythonDistributed SystemsMongoDBRedisDatabricksVector DatabasesAWSGCPAzureCloud PlatformsKubernetesCI/CDOAuthMachine LearningData EngineeringData ScienceLLMsAgentic AILangGraphAI Orchestration

About the role

  • The moment an agent accesses customer data, executes a workflow, or makes changes on behalf of a user, authorization, governance, and trust become the real engineering challenge.
  • Arcade is the MCP runtime that gives agents the power to do both seamlessly.
  • We connect agents to the systems they act in, then give each one a permission slip and a paper trail - proof of what it's allowed to do, and a record of what it did.

Responsibilities

  • Act as the Technical Authority: Partner with AEs to lead technical discovery and evaluations with Head of AI, CTO, and Architect personas.
  • Build the "Art of the Possible": Design and build custom prototypes, PoCs, and reference architectures that show exactly how our infrastructure enables real-world AI actions.
  • Field-to-Product Loop: Act as the eyes and ears of the market, funneling deep technical feedback back to our Product and Engineering teams to shape the roadmap. We build our product like a private open-source project
  • Drive Technical Wins: Navigate complex technical hurdles in deal cycles ranging from $200K+ to seven figures.
  • Agentic tool-calling is the next frontier of integration, and you want to build it.
  • Evangelist Mindset: You're a willing presenter, excited to speak at conferences, and interested in creating technical content and blogs to help lead the agentic AI conversation.

Requirements

  • Hands-on Technical Chops: You are comfortable with APIs, SDKs, and coding in modern languages (Python, JavaScript/TypeScript, etc.).
  • You can explain high-level concepts to an executive buyer without losing the technical plot.
  • Infrastructure Engineer: You've lived in Kubernetes, containers, service meshes, cloud platforms (AWS/GCP/Azure), and CI/CD pipelines, and you know how enterprise software actually gets deployed.
  • You have deep fluency in OAuth 2.0, OIDC, SAML, SCIM, token lifecycles, delegated auth, and the modern identity stack - because agent authorization is one of the hardest problems we solve.
  • if a feature or fix is needed to unblock a deployment, you are empowered to make it happen.

Skills

  • real actions, on real systems, already shipping inside Fortune 100 companies.
  • The Revolution Needs You
  • Every AI app needs agentic tools that let AI models take real actions.
  • Without tools, AI can only chat.
  • With tools, AI can actually do things.
  • Think Zapier for AI Actions.
  • Think Auth0 for AI.
  • Think really big.
  • Why This Is The Opportunity of a Lifetime
  • He's done this before - and this time the market is 10x bigger.
  • He knows this space better than anyone.
  • Our Series A round is led by SYN Ventures, with strategic investment from Morgan Stanley and Wipro.

Benefits

  • Bonus points if you've done meaningful work in data science, ML engineering, or applied AI/ML - it'll sharpen every conversation you have with customer data and AI teams.

Company info

  • Real deployments with Fortune-100 customers like Morgan Stanley and Open Table
  • We've assembled authentication, integrations, distributed systems, and AI experts from Okta, Redis, Microsoft, Splunk, Ngrok, Google, Airbyte, Disney, and HPE who've built and founded multiple successful developer platforms.
  • Take abstract infrastructure, middleware, and API concepts and turn them into clear, value-driven solutions for customers.
  • Simplify the Complex: Take abstract infrastructure, middleware, and API concepts and turn them into clear, value-driven solutions for customers.
  • Master the AI Stack: Stay at the bleeding edge of the ecosystem (LangChain, LlamaIndex, Vector DBs) to consult customers on their broader AI strategy.

This listing is sourced directly from Arcadeai's careers page and normalized into a canonical job model.