About The Position

ADP is hiring a Software Engineer (AI Solutions) to support the development of enterprise-grade agentic AI solutions within our Product Development organization. This role focuses on building intelligent, multi-step AI workflows powered by Large Language Models (LLMs) that integrate seamlessly with ADP platforms and services. This is an opportunity for an early/mid-career developer to expand their expertise in AI-driven product capabilities within a secure, scalable, and client-focused environment.

Requirements

  • You’ll have a Bachelor’s or Master’s degree in business, IT, Computer Science Engineering or related discipline, or equivalent
  • 2+ years of experience in software development with AI capabilities.
  • Proficiency in Python and/or TypeScript
  • Experience developing RESTful APIs and backend services
  • Foundational understanding of agentic AI concepts (state management, orchestration, context handling, tool integration)
  • Familiarity with embeddings, vector search, and prompt engineering

Nice To Haves

  • Experience with agent frameworks such as (EMA, LangGraph, LangChain, Semantic Kernel, AutoGen, or similar)
  • Exposure to RAG architectures and enterprise AI deployment patterns
  • Interest in or exposure to MLOps practices, including model deployment, monitoring, versioning, CI/CD pipelines, and performance tracking in production environments
  • Familiarity with cloud platforms and containerization technologies

Responsibilities

  • Develop and enhance agentic AI applicationsusing LLMs and orchestration frameworks such as EMA, LangGraph, LangChain, Semantic Kernel, AutoGen, or similar technologies
  • Design multi-step agent workflows incorporating tool-calling, memory, orchestration, and Retrieval-Augmented Generation (RAG)
  • Integrate AI agents with backend services, enterprise APIs, and diverse data sources
  • Contribute to LLM evaluation, guardrails, observability, human-in-the-loop feedback processes, and production monitoring
  • Collaborate with engineering and platform teams to support scalable deployment and lifecycle management of AI solutions
  • Write clean, maintainable code and participate in code reviews and agile delivery practices
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