GenAI Engineer: Build Enterprise AI Agents & Copilots

Fractal; United States; On-site; USD 120,000 - 145,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

11 paid holidays

12 weeks parental leave

Flexible PTO

Job summary

Fractal Analytics is seeking a skilled AI engineer to build AI agents using Python, LLMs, and GenAI toolchains. You will explore platforms like Copilot Studio and Azure AI Foundry to prototype workflows for enterprise copilots and multimodal experiences, while evaluating tools for security and scalability.

You will collaborate with engineering and QE teams to turn prototypes into production-ready solutions, document findings, and stay ahead of GenAI trends to contribute to internal knowledge

Qualifications

• Experience building AI agents and workflows in GenAI environments.
• Familiarity with LangChain, LangGraph, ReACT, ReWOO, RAG and A2A protocols.
• Ability to prototype integrations for enterprise copilots and multimodal workflows.
• Knowledge of security, scalability and alignment considerations for AI platforms.

Responsibilities

• Build AI agents using Python, LLMs and GenAI toolchains.
• Explore platforms for advanced GenAI capabilities.
• Prototype workflows and enterprise copilots.
• Assess tools for scalability, security and alignment with AI strategy.
• Document findings and provide platform recommendations.
• Collaborate with engineering and QE to productionize prototypes.
• Experiment with evaluation frameworks and guardrails.
• Stay updated on GenAI trends and share knowledge.

Skills

AI agent development

GenAI platforms

Prototype workflows

Tools

LangChain/LangGraph

ReACT/ReWOO

Copilot Studio

Azure AI Foundry

NotebookLM

Job description

Fractal Analytics is seeking a skilled AI engineer to build AI agents using Python, LLMs, and GenAI toolchains. You will explore platforms like Copilot Studio and Azure AI Foundry to prototype workflows for enterprise copilots and multimodal experiences, while evaluating tools for security and scalability.

You will collaborate with engineering and QE teams to turn prototypes into production-ready solutions, document findings, and stay ahead of GenAI trends to contribute to internal knowledge