Forward Deployed Engineer (FDE) - Agentic AI & Multi-Agent Systems

METRIX IT SOLUTIONS INC; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

METRIX IT SOLUTIONS INC is seeking a Forward Deployed Engineer to design, deploy, and optimize AI-powered business solutions using Agentic AI, multi-agent systems, Java and Python.

The role involves close collaboration with customers to map processes, identify automation opportunities, and implement scalable AT workflows with RAG and agent orchestration frameworks, ensuring strong governance and observability.

Qualifications

• Strong programming experience in Python and Java.
• Hands-on experience with Agentic AI / Multi-Agent Systems.
• Experience with agent orchestration frameworks (LangGraph, CrewAl or similar).
• Experience building autonomous workflows and AT agents with reliable API integrations.
• Knowledge of Retrieval-Augmented Generation (RAG) and retrieval engineering.
• Experience with AI observability, security guardrails, governance controls.
• Ability to translate business processes into AI-driven solutions.
• Experience conducting workshops with business and technical stakeholders.

Responsibilities

• Design and implement Agentic AT and multi-agent workflows for enterprise customers.
• Build scalable AI solutions using RAG, LLMs, and orchestration frameworks.
• Collaborate with customer stakeholders to drive adoption and business value.
• Establish monitoring, security, and governance controls for AI applications.
• Continuously refine AI agents and workflows based on feedback and performance metrics.

Skills

Python

Java

Agentic AI

Multi-Agent Systems

Agent orchestration frameworks

RAG

LLMs

APIs integration

AI observability

Workshops with stakeholders

Tools

LangGraph

CrewAl

Job description

Title:- Forward Deployed Engineer (FDE) - Agentic AI & Multi-Agent Systems

Note: Tuesday to Thursday onsite will pay travel expenses

Job Description:

We are seeking a Forward Deployed Engineer (FDE) with strong expertise in Agentic AI, Multi-Agent Systems,

Java, and Python to design, deploy, and optimize Al-powered business solutions. The ideal candidate will work

closely with customers to understand business processes, identify automation opportunities, and implement

scalable AT workflows leveraging RAG and agent orchestration frameworks

Required Skills

• Strong programming experience in Python and Java
• Hands-on experience with Agentic AI / Multi-Agent Systems
• Expertise with agent orchestration frameworks such as LangGraph, CrewAl or similar workflow platforms
• Experience building autonomous workflows and AT agents with reliable API integrations
• Strong understanding of Retrieval- Augmented Generation (RAG) and retrieval engineering
• Experience implementing Al observability, monitoring, security guardrails, and governance controls
• Ability to troubleshoot, test, and optimize Al agents based on business requirements and user feedback
• Experience conducting workshops with business and technical stakeholders to identify AI automation
• Strong knowledge of workflow automation, process transformation, and AI solution deployment

Preferred Qualifications

• Experience in Accounting, Finance, or Close Management processes
• Understanding of Month-End Close (MEC) and Year-End Close (YEC) business workflows
• Customer‑facing consulting or solution engineering experience
• Experience deploying AT solutions in enterprise environments

Key Responsibilities

• Design and implement Agentic AT and multi-agent workflows for enterprise customers
• Build scalable AI solutions using RAG, LLMs, and orchestration frameworks
• sessions and translate business processes into Al-driven solutions
• Integrate Al agents with enterprise systems and APIs
• Establish monitoring, security, and governance controls for AI applications
• Collaborate with customer stakeholders to drive adoption and business value
• Continuously refine AI agents and workflows based on feedback and performance metrics