Forward Deployed Agent Builder

Jobtailor; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor in Atlanta, GA is seeking a hands-on AI engineer to design and implement agent workflows using LangChain and LangGraph, building RAG pipelines, and integrating with enterprise systems. You will optimize performance, latency, and cost while collaborating with business and product teams.

Strong product design sense and communication are essential; familiarity with Copilot Studio and Power Platform is a plus.

Qualifications

• Hands-on experience with agent frameworks such as 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 with enterprise systems.
• Familiarity with observability and evaluation tooling for AI systems.

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 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 systems

RAG pipelines

API integration

Observability

AI evaluation

Copilot Studio

Power Platform

MCP

Cursor

Claude

Solution engineering

Tools

Copilot

Power Automate

Power Apps

Microsoft Graph

Teams

SharePoint

MCP

Job 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)
• Curious, adaptable, and open to learning as roles and workflows evolve

Core Competencies

Demonstrates expertise in designing and implementing agent workflows and multi-agent systems, with a strong focus on integrating AI solutions into enterprise environments. Proficient in optimizing performance and ensuring seamless communication between technical and non-technical stakeholders.

Highest-signal resume keywords

• LangChain Framework
• LangGraph Framework
• RAG Pipeline Development
• API Integration Skills
• Copilot Studio Experience

Hard Skills

• Agent Frameworks
• Multi-Agent Architectures
• Vector Databases
• Observability Tools
• AI System Evaluation

Soft Skills

• Excellent Communication Skills
• Product Design Sensibility
• Curiosity
• Adaptability

Industry Keywords

• AI Experiences
• Context Handling
• Agent Interactions
• Enterprise Systems
• Skills-Based Architectures

Tools & Technologies

• Copilot
• Power Automate
• Power Apps
• Microsoft Graph
• Teams
• SharePoint
• MCP