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Gen AI Engineer - Tampa, FL / Jersey City, NJ / Austin, TX

Rayomind Software Solutions LLC, DBA, Hire'in SolutionsTampa, FL🇺🇸United StatesPosted 26 Aug 2026

Why This Role Stands Out

Advance your career by developing cutting-edge enterprise AI applications that leverage the latest in Large Language Models, offering significant growth opportunities in a hybrid work environment. If you possess strong Python skills and experience with RAG, vector databases, and AI frameworks like LangChain, you'll thrive in this role shaping the future of AI solutions. Apply today to join an innovative team and make a real impact.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Tampa, FL, United States
Posted
3 weeks ago
MicroservicesAzureGenerative AIPythonREST

Job Description

Role:- Gen AI Engineer

Location: Tampa, FL / Jersey City, NJ / Austin, TX

Job Type: Contract

 

Job Description:

We are seeking an experienced Generative AI Engineer to design, develop, and deploy enterprise-grade AI applications powered by Large Language Models (LLMs). The ideal candidate will have strong expertise in Python, cloud platforms, Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and modern AI frameworks such as LangChain or LlamaIndex.

Key Responsibilities

  • Design, build, and deploy Generative AI applications using OpenAI, Azure OpenAI, Anthropic, or open-source LLMs.
  • Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases.
  • Build AI agents and conversational applications using LangChain, LangGraph, LlamaIndex, CrewAI, or AutoGen.
  • Integrate LLMs with enterprise applications through REST APIs and microservices.
  • Create prompt engineering strategies to improve model accuracy and response quality.
  • Fine-tune and optimize LLMs using techniques such as PEFT, LoRA, and model quantization where applicable.
  • Develop scalable backend services using Python.
  • Work with structured and unstructured data including PDFs, Word documents, and databases.
  • Implement AI governance, security, monitoring, and responsible AI practices.
  • Collaborate with Data Scientists, ML Engineers, Product Owners, and business stakeholders to deliver AI-driven solutions.

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