GEN AI Engineer

Ztek Consulting
Irving, TX, United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$161,800.0 - $184,600.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Code Review Python (Programming Language) Tensorflow Data Processing Pytorch Flask (Web Framework) Large Language Models Prompt Engineering Generative AI Keras Git
+8 more
Fastapi Containerization HuggingFace Machine Learning Operations Virtual Agents Api Design Software Version Control Docker

Job description

Awareness of AI compliance, data privacy, and responsible AI principles Roles & Responsibilities AI workflow development Prompt engineering Deployment and maintenance of AI models across all environments including Production. Code review, testing and documentation Continuous learning in Generative AI related fields

Requirements

Must Have Technical/Functional Skills Strong hands-on Python knowledge Hands-on experience in developing API Development in Python using FastAPI/ Flask framework Working experience in Data Processing, AI enabled workflows using python Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI. Basic knowledge of Hybrid prompting technique Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc. Good to have: Working experience with Gemini LLM Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras Hands-On knowledge on NLP Understanding of model deployment and containerization (Docker). Understanding of version control systems (Git).

Benefits & conditions

  • $101,000-138,600 per year Who we are With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advance…

  • 14 days ago +

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Good distractions

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

1:31 min

Essential AI and human skills for future teams

Alexander Weißhaupt Alexander Weißhaupt +1 · World Congress 2025

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

1:18 min

Converting existing Keras models to TensorFlow format

Håkan Silfvernagel · LIVE

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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