Forward Deployed Agent Builder Remote

Purchasing Power, LLC; Chennai District; Remote; INR 700,000 - 1,200,000; Full time

Benefits offered by this job

Competitive Compensation

Full Health Benefits

401k

Job summary

Purchasing Power, part of PROG Holdings, seeks an experienced Forward Deployed Agent Builder to design, build, and deploy AI agents powering real-world workflows. You will partner with business and product teams to translate complex problems into scalable agent architectures, leveraging LangChain, LangGraph, and multi-agent patterns.

You will architect RAG pipelines with Copilot, Pinecone, Qdrant, Weaviate, and pgvector, implement memory and data continuity, and deliver usable AI experiences

Qualifications

• Hands-on experience with agent frameworks, including LangChain and LangGraph.
• 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 with Copilot Studio and the Microsoft Power Platform (preferred).
• Familiarity with MCP and Skills-based agent architectures (preferred).
• Experience with AI-assisted coding tools such as Cursor or Claude (preferred).
• Forward-deployed or solution engineering background (preferred).
• AI-enabled tools are already part of how work gets done across our organization, and their use will continue to expand over time. We value people who are curious, adaptable, and open to learning as roles and workflows evolve.

Responsibilities

• 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 LangChain and LangGraph, 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 SharePoint.
• 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.

Skills

LangChain

LangGraph

Multi-agent

RAG Pipelines

Vector DBs

API Integration

Observability

Product Design

Copilot Studio

Power Platform

MCP

Cursor

Claude

Forward Deployment

Tools

Pinecone

Qdrant

Weaviate

pgvector

Copilot Studio

Power Automate

Power Apps

Microsoft Graph

Teams

SharePoint

Job description

Job Description:

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 FinTech 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.

We Are

An AI-first FinTech 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 LangChain and LangGraph, 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 SharePoint
• 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 LangChain and LangGraph
• 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 with Copilot Studio and the Microsoft Power Platform (preferred)
• Familiarity with MCP and Skills-based agent architectures (preferred)
• Experience with AI-assisted coding tools such as Cursor or Claude (preferred)
• Forward-deployed or solution engineering background (preferred)
• AI-enabled tools are already part of how work gets done across our organization, and their use will continue to expand over time. We value people who are curious, adaptable, and open to learning as roles and workflows evolve

We Offer

• Competitive Compensation
• Full Health Benefits; Medical/Dental/Vision/Life Insurance + Paid Parental Leave
• Company Matched 401k
• Paid Time Off + Paid Holidays + Paid Volunteer Time
• Diversity Alliance Resource Groups
• Employee Stock Purchase Program
• Tuition Reimbursement
• Charitable Gift Matching
• Job Required Equipment & Services Will Be Provided

Purchasing Power welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Purchasing Power does business.