AI Engineer

USA (Remote)

Salary Not AvailableMid Level3+ years expFull time

Posted 3 months ago

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Job Summary

Drive frontline implementation leadership for enterprise AI deployments as an Elite AI Solutions Engineer on the GTM Revenue bench.

  • Own end-to-end enterprise deployments, including workflow design and reliable routing.
  • Must-have: 3+ years backend production engineering with Python or Node/TypeScript.
  • Standout: opportunity to spearhead high-stakes client implementations after a validated sprint.

Job Description

Responsibilities

  • The Role: Elite AI Solutions Engineers to join our technical implementation bench. As we scale to handle our upcoming enterprise pipeline, we are bringing on a select group of engineers who will undergo a 3-week technical validation sprint. Those who pass will become our frontline implementation leads for high-stakes client deployments.
  • Agentic Architecture: Designing multi-step workflows, orchestrator-worker patterns, and reliable routing loops.
  • Tool Design & MCP Integration: Building robust tool-calling schemas and utilizing the Model Context Protocol (MCP) to connect LLMs to live enterprise databases.
  • Structured Outputs: Enforcing strict data structures using JSON schemas and Pydantic for deterministic data extraction.
  • Context & Reliability: Managing context windows efficiently, utilizing advanced prompting techniques, and building resilient error-handling pipelines.

Requirements

  • Production Engineering Experience: Minimum 3+ years of professional backend development in Python or Node.js/TypeScript. You must have deep experience building and integrating complex REST APIs.
  • Applied AI Experience: You must have successfully deployed at least one LLM-driven feature or application to production. We are looking for engineers, not "prompt hobbyists."
  • Architectural Rigor: You understand the difference between a simple chatbot and a deterministic AI workflow. You must be comfortable with complex system architecture, database management, and cloud deployment.
  • Commitment: Ability to commit to a 3-week onboarding and certification sprint starting immediately.

Benefits

  • Highly Sought-After AI Credential: You will be sponsored to take the proctored Claude Certified Architect - Foundations (CCAF) exam. This credential is recognized by top tech companies and enterprise employers.
  • Guaranteed Certification Upon Completion: If you complete onboarding and validation, you will earn the official CCAF certificate for resume and LinkedIn.
  • Professional Bench Status: Upon certification, you gain First Priority access to upcoming enterprise contracts and projects.
  • Real Business Impact: Work on high-stakes systems that directly transform enterprise Go-To-Market strategies.