Gen AI Engineer-3

Realign Llc

Irving (TX)

On-site

USD 110,000 - 160,000

Full time

31 hours ago
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Job summary

Realign Llc in Irving, TX is seeking a skilled AI/ML engineer to advance Python-based AI workflows. You will develop APIs using FastAPI/Flask, process data, and push AI-enabled automation across environments. Strong knowledge of LLM concepts and prompt engineering is required.

Ideal candidates will combine data processing expertise with hands-on experience deploying AI models, containerization (Docker), and version control (Git) in production settings.

Qualifications

  • Strong hands-on Python knowledge.
  • Hands-on API development in Python using FastAPI/Flask.
  • Experience in data processing and AI-enabled workflows using Python.
  • Knowledge of LLM, prompt engineering, RAG architecture, and agentic AI.
  • Familiar with containerization and version control (Git).

Skills

Python
API Development
Data Processing
LLM
Prompt Engineering
RAG Architecture
Agentic AI
Hybrid Prompting
NLP
Generative AI

Tools

Docker
Git
FastAPI
Flask
PyTorch
TensorFlow
Keras

Job description

Irving, Texas 75014 Posted October 2nd, 2026 Looking for more job opportunities?

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

Full Time

Job Description

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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