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GEN AI Engineer

Northern Base
Tampa, FL, United States
11 days ago
Apply on www.careerjet.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$100,000.0 - $150,000.0
Working hours
Regular working hours
Job source
www.careerjet.com

Tech stack

Artificial Intelligence Code Review Python (Programming Language) Tensorflow Data Processing Pytorch Flask (Web Framework) Large Language Models Prompt Engineering Keras Git Fastapi
+7 more
Containerization Information Technology HuggingFace Machine Learning Operations Virtual Agents Api Design Docker

Job description

What you will do Under minimal direction, participates as a leader of the Development Team to achieve department and project objectives on medium to large projects. Leads enginee…

  • 11 days ago +

Requirements

  • FastAPI / Flask & Python API Development
  • Data Processing & AI-Enabled Workflows
  • LLMs, Prompt Engineering & RAG Architecture
  • Agentic AI & Hybrid Prompting Techniques
  • LangChain, Hugging Face & LlamaIndex
  • AI Workflow Development & Model Deployment
  • Production AI Model Maintenance
  • Git, Testing & Code Review

Preferred Experience:

  • Gemini LLM
  • PyTorch / TensorFlow / Keras
  • NLP
  • Docker & Containerization
  • AI Compliance, Data Privacy & Responsible AI
  • Experience deploying AI models across Development, QA, and Production environments

Education: Bachelor’s Degree in Computer Science or related field preferred.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

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Converting existing Keras models to TensorFlow format

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6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · World Congress 2026 Europe

2:20 min

Speeding up model training cycles with transfer learning techniques

Anirudh Koul · LIVE

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