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Gen AI Engineer / Lead / Architect

US client via staffing partner · NYC, NY / Durham, NC / Westlake, TX

Location
NYC, NY / Durham, NC / Westlake, TX · Hybrid
Salary band
Band not stated
Type
Full-time
Level
Senior
Work authorization
Not stated
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Stack

Python · FastAPI · MongoDB · REST APIs · ReactJS · GenAI · LLM · Agentic Workflows · Tool Calling · Prompt Design · Human-in-the-Loop · Automation Testing · CI/CD · Containers · Kubernetes · OpenShift · S3 · Google Agent Development Kit · Claude · Gemini

About the role

Title: GEN AI Engineer or Lead or Architect Location: NYC, NY / Durham, NC / Westlake , TX - Hybrid Job Type: Full Time Skills: - Strong hands-on experience developing applications using Python - Experience building backend services and Rest API's using FASTAPI or a comparable Python framework - Experience with MongoDB or another document-oriented database - Experience integrating applications with API's, databases and object-storage services - Understanding of ReactJS and modern front-end development concepts. - Practical experience developing GenAI of LLM enabled applications - Experience with agentic workflows, tool calling, structured outputs, prompt design, or human-in-the-loop processes - Experience with automation testing, source control, pull requests and CI/CD processes - Working knowledge of containers, Kubernetes, OpenShift or equivalent container platforms Key Responsibilities: - Design and develop application capabilities using Python, FastAPI, ReactJS, MongoDB, and S3-compatible storage - Build and maintain scalable backend services, Rest API's, data models, and enterprise integrations. - Design and implement agentic AI workflows using Google Agent Development Kit, integrating with internal LLM services supporting models such as Claude and Gemini - Develop agents supporting application insights, assessments, provisioning validation, and deployment activities. - Implement structured LLM outputs, tool calling, human-in-the-loop approvals, validation controls and agent evaluation - Follow specification-driven development practices, including technical specifications, API contracts, acceptance criteria, and automated tests. - Translate enterprise architecture, SDLC, security, policy and governance requirements into application workflows and validations.

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