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Forward Deployed Agent Builder; Hybrid

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Purchasing Power
Full Time position
Listed on 2026-10-15
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: Forward Deployed Agent Builder (Hybrid )

Purchasing Power is a leading employee purchase program that helps people buy the products and services they need through the convenience of payroll deduction. As part of PROG Holdings (NYSE: PRG), a Fin Tech holding company with more than 20 years of experience, we’re focused on building simple, responsible financial solutions that put people first. PROG Holdings’ portfolio includes Progressive Leasing, a market leader in lease‑to‑own solutions, Purchasing Power, and Four, a Buy Now Pay Later (BNPL) platform — all united by a commitment to innovation, access, and meaningful impact.

We are currently hiring a Forward Deployed Agent Builder to work directly with our business and product teams to design, build, and deploy AI agents that solve real-world workflows. This role sits at the intersection of agent engineering, product thinking, and stakeholder communication — translating complex business problems into intelligent, scalable AI solutions. You will play a critical role in accelerating our AI-first strategy by delivering agents that create immediate and measurable impact across the organization.

Employee Value Proposition (EVP): PROG is dedicated to providing people with opportunity; opportunity for inclusive collaboration, opportunity for innovation, and opportunity for development.

This is a hybrid role that requires in‑office presence in Atlanta, Georgia
.

We Are

An AI-first Fin Tech organization on a mission to make everyday purchases accessible through innovative lease-to-own solutions. We move fast, think big, and build with purpose. Our teams are empowered to experiment and deploy intelligent systems that create real value — from customer-facing products to internal operations. We believe the future of work is agentic, and we are actively building it.

You

Are

A builder who thrives at the intersection of business and technology. You are equally comfortable whiteboarding a workflow with a product manager and writing production‑grade agent code. You have deep hands‑on experience with agent frameworks and multi‑agent architectures, and you know how to design AI experiences that people actually want to use. You communicate clearly, move quickly, and care about outcomes over outputs.

Your

Day-to-day
  • Partner with business and product teams to frame complex problems and translate requirements into agent workflows, tools, and data architectures
  • Design and build agent workflows using Lang Chain and Lang Graph, including multi‑agent architectures such as ReAct and supervisor models
  • Architect and implement end‑to‑end RAG pipelines using Copilot, integrating with vector databases including Pinecone, Qdrant, Weaviate, and pgvector
  • Build and optimize short‑term and long‑term memory systems, managing context handling and continuity across agent interactions
  • Integrate agents into enterprise systems via APIs, MCP, and platform connectors
  • Develop business application agents using Copilot Studio, Power Automate, and Power Apps, with integrations into Microsoft Graph, Teams, and Share Point
  • Design intuitive, usable AI experiences with a strong product and UX mindset
  • Optimize agent performance for latency, cost, and accuracy; apply observability and evaluation tools to measure and improve outcomes
  • Communicate solutions clearly to both technical and non‑technical stakeholders
You’ll Bring
  • Hands‑on experience with agent frameworks, including Lang Chain and Lang Graph
  • Proficiency designing and implementing multi‑agent systems and architectures
  • Experience building RAG pipelines and working with vector databases
  • Strong API integration skills and familiarity with enterprise systems
  • Comfort with observability and evaluation tooling for AI systems
  • Excellent communication skills and a product design sensibility
  • Experience…
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