Technology

AI Agent Developer

eTeam, Inc.PA🇺🇸United StatesPosted 3 Sept 2026

Quick Overview

Seniority

Mid Senior

Work mode

Hybrid

Location

PA, United States

Posted

22 hours ago

AzureJavaScriptPythonRESTStakeholder ManagementTypeScript

Key Responsibilities

Design, develop, and deploy intelligent agents and copilots using Microsoft Copilot Studio, Azure AI Foundry, and Google Gemini.
Build agent-driven experiences that support learning discovery, skills development, knowledge retrieval, content recommendations, and employee enablement.
Develop Azure Functions, APIs, and serverless services to support agent orchestration, integrations, and automation workflows.
Create Retrieval-Augmented Generation (RAG) solutions leveraging enterprise content repositories and learning platforms.
Integrate AI solutions with learning technologies such as Workday Learning, SuccessFactors, Viva Learning, LinkedIn Learning, and other content providers.
Develop custom connectors and integrations with applications like - Microsoft 365, SharePoint, Teams, Power Platform, and our other enterprise systems.
Collaborate with product managers and business stakeholders to identify high-value AI use cases and translate requirements into scalable solutions.
Establish prompt libraries, agent instructions, evaluation frameworks, governance controls, and monitoring practices.
Support technical architecture, proof-of-concept development, pilot programs, and production deployments.
Stay current on emerging capabilities across Microsoft Copilot, Azure AI, Gemini, and agentic AI frameworks.

Skill Requirements

Required Qualifications

5+ years of software development, solution architecture, or platform engineering experience.
Proven experience developing applications using Microsoft Copilot Studio and Azure AI Services.
Strong hands-on development skills in:

Experience developing solutions using Google Gemini APIs and agent frameworks.
Experience designing RAG architectures using vector databases, embeddings, and enterprise knowledge repositories.
Experience integrating enterprise SaaS platforms and learning systems.
Strong understanding of prompt engineering, agent orchestration, tool calling, memory, grounding, and evaluation methodologies.
Experience working within enterprise security, compliance, and governance requirements.
Excellent communication and stakeholder management skills.

Other Requirements

Preferred Qualifications

Experience with Viva Learning, Workday Learning, LinkedIn Learning, Degreed, SuccessFactors, or other enterprise learning ecosystems.
Experience building custom Copilot extensions, plugins, actions, and connectors.
Familiarity with Azure AI Search, Azure Functions, Logic Apps, Power Automate, and Power Platform.
Experience implementing skills inference, learning recommendations, talent marketplace, or career development solutions.
Knowledge of HR, Learning & Development, Digital Adoption, or Workforce Transformation domains.
Experience working in regulated environments with strong privacy and compliance requirements.

Key Deliverables

Production-ready AI agents and copilots supporting learning and workforce enablement use cases.
Reusable Azure Function and API services supporting enterprise AI solutions.
Integrations between AI platforms and enterprise learning technologies.
Technical documentation, architecture diagrams, and deployment procedures.
Pilot solutions that demonstrate measurable improvements in learner engagement, knowledge discovery, productivity, or operational efficiency.