AI Integration Engineer

Role Overview

• Design, develop, and deploy production-ready AI agents and multi-agent systems that automate enterprise business workflows
• Build reusable agent frameworks, orchestration patterns, and integration components that accelerate future client implementations
• Own the full software development lifecycle from proof of concept through production deployment
• Implement evaluation frameworks, guardrails, observability, and error handling for production AI systems
• Stay current with emerging AI models, orchestration frameworks, and agent technologies, incorporating new capabilities where they provide measurable business value
• Integrate AI agents with enterprise platforms through REST APIs, webhooks, OAuth2, and workflow automation technologies
• Design scalable approval workflows, routing logic, notifications, and intelligent automation supporting enterprise marketing operations
• Assess existing client workflows and identify opportunities to improve efficiency through intelligent automation
• Design secure, scalable integrations capable of supporting enterprise production workloads
• Develop reusable integration patterns that simplify future client implementations
• Partner directly with client stakeholders to understand business processes and operational challenges
• Identify and prioritize high-value automation opportunities that reduce manual effort and improve business outcomes
• Rapidly prototype AI solutions, gather client feedback, and iterate toward production-ready implementations
• Present technical recommendations and solution approaches to both technical and business audiences
• Collaborate with architects, engineers, delivery managers, and consultants to deliver enterprise AI solutions
• Participate in solution architecture discussions, technical discovery sessions, and implementation planning
• Perform peer code reviews and promote engineering best practices across project teams
• Mentor fellow engineers on emerging AI technologies and integration patterns
• Support sales and solution teams by providing technical expertise during client pursuits, demonstrations, and solution estimation.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience
• 5+ years of professional software engineering experience developing enterprise applications
• 1+ years of hands-on experience designing, building, and deploying agentic AI systems
• Experience working with multi-agent orchestration frameworks such as LangGraph, CrewAI, AutoGen, or similar technologies
• Experience integrating commercial Large Language Models (LLMs) through model APIs
• Strong experience with enterprise integration technologies including REST APIs, OAuth2, webhooks, workflow automation platforms, and iPaaS solutions
• Experience designing scalable, secure production software solutions
• Ability to quickly understand complex business processes and translate them into technical solutions
• Excellent communication, consulting, and stakeholder management skills
• Comfortable working independently while collaborating across cross-functional delivery teams.

Benefits

• medical, dental and vision insurance
• life insurance
• disability
• paid time off
• 401(k)