Enterprise AI Engineer

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.

Job Description

Company

Action Co. is a data consultancy that partners with leading organizations to design, build, and operationalize data systems that drive clarity and performance. We specialize in data engineering, analytics, visualization, and automation, helping teams move from fragmented reporting to integrated, decision-ready systems. Our work sits at the intersection of business strategy and technical execution, enabling organizations to scale with precision. We operate as a tight, high-ownership team, partnering directly with stakeholders to deliver sustainable, high-impact outcomes.

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