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

PublishedPublished: 6/14/2022
Technology
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Job Description

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

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Location:- Mountain View, CA (San Francisco Bay Area) || New York, NY (Tri-State Area) - Hybrid

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Position Type: Fulltime

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Note: Tuesday to Thursday onsite will pay travel expenses

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Job Description:

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

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

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

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scalable AT workflows leveraging RAG and agent orchestration frameworks

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Required Skills

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

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

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