Hybrid Python AI Engineer & Architect (NYC)

The Phoenix Group

New York (NY)

Hybrid

USD 140,000 - 180,000

Full time

7 days ago
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Job summary

The Phoenix Group, a premier global law firm, is seeking an experienced AI Engineer/Architect to design and integrate AI-powered solutions across Finance, HR, and IT. The role demands hands-on engineering with a strong Python background and production AI experience.

Based in New York City, this hybrid position requires three onsite days weekly. You will work on modernizing on-prem applications, integrating LLMs, and shaping the firm’s AI strategy and architecture.

Qualifications

  • Strong Python experience for building production AI solutions.
  • Experience deploying production AI applications into enterprise systems.
  • Hands-on with OpenAI APIs and integrating AI into existing apps.
  • Experience designing AI architectures and scalable enterprise AI solutions.
  • Experience with locally hosted LLMs (Ollama, Hugging Face, vLLM) and MCP servers.
  • Excellent communication with technical and business stakeholders.

Responsibilities

  • Design and develop AI-powered applications and services using Python.
  • Architect and integrate AI capabilities into existing enterprise systems.
  • Build production-ready solutions using OpenAI APIs and self-hosted LLMs.
  • Develop AI agents, workflows, and automation features.
  • Design custom MCP servers and AI integrations.
  • Collaborate with Finance, HR, and IT to identify AI opportunities.

Skills

Python
Production AI deployment
Prompt engineering
Software design

Tools

OpenAI APIs
Ollama
Hugging Face
vLLM
MCP Servers

Job description

The Phoenix Group, a premier global law firm, is seeking an experienced AI Engineer/Architect to design and integrate AI-powered solutions across Finance, HR, and IT. The role demands hands-on engineering with a strong Python background and production AI experience.

Based in New York City, this hybrid position requires three onsite days weekly. You will work on modernizing on-prem applications, integrating LLMs, and shaping the firm’s AI strategy and architecture.

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