Gen AI Engineer-3

Realign Llc; Edison (NJ); On-site; USD 110,000 - 180,000; Full time

Job summary

Realign Llc in Edison, NJ is seeking a software AI engineer with strong Python expertise to design and implement API-driven AI workflows. You will work with FastAPI/ Flask, develop data processing pipelines, and contribute to LLM-based solutions including prompts, RAG architectures, and agentic AI concepts.

Ideal candidates have hands-on experience with PyTorch or TensorFlow, Docker for deployment, Git version control, and a solid understanding of AI safety and compliance.

Qualifications

• Strong hands-on Python knowledge.
• Hands-on experience in 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.

Skills

Python

API development

Data processing

AI workflows

LLM concepts

Prompt engineering

RAG architecture

Agentic AI

Hybrid prompting

Tools

FastAPI

Flask

PyTorch

TensorFlow

Keras

NLP

Docker

Git

Gemini LLM

Job description

Edison, New Jersey 08837 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