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GenAI Engineer

J-RAM IT Consulting Inc.New York, NY🇺🇸United StatesPosted 8 Sept 2026

Why This Role Stands Out

This role offers a unique opportunity to pioneer agentic AI solutions using Claude, shaping the future of enterprise automation and gaining deep expertise in cutting-edge GenAI technologies. You'll thrive here if you're a skilled Python developer with a passion for building production-ready AI applications and driving innovation. Embrace the chance to make a significant impact and advance your career in this exciting field.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
New York, NY, United States
Posted
2 days ago
AWSAzureLLMPython

Job Description

Position: GenAI Engineer (Agentic AI)

Location; NYC, NY ( In person interview must)-(Locals or Nearby only)

Duration: 12 months

Job Description – GenAI Engineer (Agentic AI) 

 
Role Overview 
 

We are looking for a hands-on GenAI Engineer to build and scale agent-based AI applications, with a strong focus on Claude Agent SDK (Anthropic). 
 
The role centers on developing intelligent, production-grade workflows for document processing, onboarding, and operational automation, integrating GenAI capabilities into enterprise platforms. 

 
Key Responsibilities 

  • Build agent-driven applications using Claude Agent SDK and similar frameworks 
  • Design and implement agentic workflows (multi-step reasoning, tool use, orchestration) 
  • Integrate GenAI solutions into enterprise systems 
  • Develop and refine prompts and evaluation approaches 
  • Ensure solutions are production-ready, reliable, and auditable 

 
Requirements 

  • Strong hands-on experience with Claude (Anthropic) and agentic / autonomous workflows 
  • Strong programming skills in Python 
  • Experience with LLM APIs/frameworks (OpenAI or similar as secondary) 
  • Proven experience building end-to-end GenAI applications for production use 
  • Solid understanding of prompt engineering and model behavior 

 
Nice to Have 

  • Experience in financial services or onboarding domains 
  • Exposure to enterprise-scale AI deployments (regulated environments, audit requirements) 
  • Familiarity with cloud platforms (Azure, AWS) for AI deployments 
  • Experience working in cross-functional teams (Ops + Tech + Compliance) 

 

 

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