Enterprise AI Engineer

About the role

Action is looking for an Enterprise AI Engineer to help build, evolve, and support production agentic AI applications for a high-visibility enterprise program. You'll work across Python, TypeScript, APIs, databases, microservices, and AI agents, contributing to new architecture while diagnosing real-world production issues. This role requires more than coding: You must communicate effectively with business and technical stakeholders, navigate organizational complexity, and independently drive ambiguous problems through to resolution.

Responsibilities

• Agentic AI Engineering: Build and evolve multi-agent AI applications and architectures; maintain orchestrators, agents, services, and integrations; support migration to next-generation agent architectures; apply structured, AI-assisted development practices.
• Full-Stack Troubleshooting & Production Support: Rapidly diagnose issues across agents, applications, APIs, databases, and infrastructure; find root causes and independently implement fixes; debug Python, TypeScript/JavaScript, React, SQL, Docker, and CI/CD; independently validate changes before exposing them to business users.
• Client & Cross-Functional Execution: Translate business feedback into actionable technical problems; drive solutions across teams and organizational boundaries; communicate technical issues and outcomes clearly to business stakeholders; navigate sensitive enterprise communications with professional maturity.
• Autonomous Delivery: Proactively own problems through to resolution; navigate ambiguity, changing priorities, and production incidents; escalate blockers effectively and deliver quickly; deliver high-quality solutions at a fast-moving enterprise pace.

Must Have

• Strong Python and full-stack development skills, including TypeScript/JavaScript, APIs, and SQL
• Hands-on agentic AI experience with agents, orchestrators, and LLM applications
• Fast, self-sufficient troubleshooting and root-cause analysis across the application stack
• Professional maturity and communication skills in complex enterprise environments
• Experience with LangFuse observability, tracing, and production diagnostics for distributed applications

Compensation Structure

• Employment Type: Full-time, compensated as a W2 hourly employee
• W2 Hourly Rate: $75-85 / hour based on fit and experience
• Benefits: UnitedHealthcare (medical), Guardian (Vision and Dental)
• Profit Sharing: Aligned to performance-based revenue outcomes, paid annually
• Long-Term Opportunity: Participation in company growth as the business scales