Gen AI Engineer

Realign Llc

Tampa (FL)

On-site

USD 110,000 - 150,000

Full time

14 hours ago
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Job summary

Realign Llc in Irving, TX / Tampa, FL / Edison, NJ is seeking a hands-on Python developer to build AI-enabled data processing pipelines and API services using FastAPI or Flask. You will work across model development, deployment and production environments, focusing on robust, scalable Python code and practical AI workflows.

Ideal candidates have experience with LLM concepts, prompt engineering, and containerization with Docker, plus version control with Git.

Qualifications

  • Strong hands-on Python knowledge.
  • Hands-on API development in Python using FastAPI/Flask.
  • Working experience in Data Processing and AI-enabled workflows with Python.
  • Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI.
  • Basic knowledge of Hybrid prompting technique.

Skills

Python
API Development
Data Processing
LLM Knowledge
Prompt Engineering
Hybrid Prompting
Gemini LLM
PyTorch
TensorFlow
Keras
NLP
Docker
Git
AI Compliance
AI Workflow
Deployment
Production
Code Review
Testing
Documentation
Continuous Learning

Tools

FastAPI/Flask

Job description

Location: Irving, TX / Tampa, FL / Edison, NJ

Full Time

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