AI Agent Architect: Proactive Multi-Agent Orchestration

Jobtailor; Maryland; On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor is seeking a seasoned AI/ML engineer to design and deploy multi-agent systems, leveraging LangChain, LangGraph, and AutoGen. The role focuses on production-grade ML pipelines, RAG architectures, and knowledge graphs to drive reliable, scalable AI solutions.

You will work across cloud environments (AWS/Azure), fine-tune LLMs/SLMs, and implement evaluation frameworks to ensure safety and performance in real-world deployments. A TS/SCI polygraph is required.

Qualifications

• 2+ years of software development experience.
• 2+ years as ML engineer building production-grade ML solutions.
• Experience with LangChain, LangGraph, AutoGen, and related tools.
• Experience with cloud environments (AWS/Azure) and designing scalable services.
• Experience with MCP for tool integration and A2A for agent collaboration.
• Experience with RAG and knowledge graphs (Neo4j/NebulaGraph).
• Experience fine-tuning LLMs/SLMs (Hugging Face, PEFT, LoRA).
• Experience evaluating LLM performance and building observation layers (Grafana, Langfuse, LangSmith, Phoenix).
• Knowledge of microservice design and edge computing.
• TS/SCI clearance with polygraph required.
• Bachelor’s degree; Master’s preferred; Doctorate a plus.

Responsibilities

• Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen.
• Develop and deploy multi-agent systems using MCP and A2A protocols for communication, tool usage, and collaborative task solving.
• Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs to enhance reasoning accuracy and context retention.
• Fine-tune SLMs for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama.
• Develop evaluation frameworks to test agent reliability, safety, and performance, moving systems from prototype to production, including ReAct loops and human-in-the-loop.
• Shift AI strategy from passive LLM chatbots to proactive, multi-agent orchestrations.

Skills

LangChain

LangGraph

AutoGen

MCP

A2A

RAG Architecture

Knowledge Graphs

Production-Grade ML Solutions

Fine-Tuning LLMs

Education

Bachelor's degree

Master's degree in CS/AI

Doctorate in CS/Statistics a plus

TS/SCI Clearance with Polygraph

Tools

Docker

Kubernetes

Grafana

Langfuse

LangSmith

Phoenix

Hugging Face

PEFT

LoRA

Neo4j

Job description

Jobtailor is seeking a seasoned AI/ML engineer to design and deploy multi-agent systems, leveraging LangChain, LangGraph, and AutoGen. The role focuses on production-grade ML pipelines, RAG architectures, and knowledge graphs to drive reliable, scalable AI solutions.

You will work across cloud environments (AWS/Azure), fine-tune LLMs/SLMs, and implement evaluation frameworks to ensure safety and performance in real-world deployments. A TS/SCI polygraph is required.