AI Integration Engineer

Blue Acorn iCi

Agentic AI Integration Engineer at Blue Acorn iCi designing and deploying production-ready AI systems that automate enterprise workflows. Collaborating with cross-functional teams and client stakeholders on high-value solutions.

Posted 7/8/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $160,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, developing, and deploying AI agents and multi-agent systems to automate enterprise workflows, with a strong focus on integration technologies and scalable solutions. Proven ability to collaborate with stakeholders to identify automation opportunities and deliver measurable business value.

Highest-signal resume keywords

AI Agent DevelopmentMulti-Agent Orchestration FrameworksEnterprise Integration TechnologiesLarge Language Model IntegrationStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Development LifecycleAI Systems Evaluation FrameworksREST APIsOAuth2WebhooksWorkflow AutomationIntegration PatternsScalable Software SolutionsPrototyping AI SolutionsError Handling

Soft Skills

Excellent CommunicationConsulting SkillsStakeholder ManagementIndependent WorkCollaboration

Tools & Technologies

LangGraphCrewAIAutoGenIPaaS SolutionsWorkflow Automation Platforms

Certifications & Qualifications

Bachelor's Degree in Computer ScienceSoftware EngineeringInformation Systems

Industry Keywords

Enterprise ApplicationsIntelligent AutomationBusiness WorkflowsProduction WorkloadsTechnical Discovery

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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