Forward Deployed Agent – Builder

Job not on LinkedIn

🔥 12 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👻 Ghost score 10%

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Logo of Progressive Leasing

Progressive Leasing

1001 - 5000 employees

Founded 1999

💼 Consulting

📦 Logistics

🛒 Retail

Consulting • Logistics • Retail

Progressive Leasing is a company that offers lease-to-own purchase options for consumers who may have less-than-perfect credit. They provide a convenient and flexible way for customers to acquire items such as furniture, electronics, jewelry, tires and wheels, mobile devices, appliances, and mattresses from thousands of retail locations nationwide. Their underwriting process considers various data points like income and banking history instead of relying solely on credit scores, allowing more people to be approved. With automatic payment scheduling options, customers can align payments with their paydays, enhancing ease and affordability.

📋 Description

• 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

🎯 Requirements

• 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) • Curiosity, adaptability, and openness to learning as roles and workflows evolve

🏖️ Benefits

• 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

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