Generative AI Engineer

Covetus; Irving (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Covetus in Irving, TX is seeking a hands-on Python developer to build API services using FastAPI/Flask and to drive AI-enabled data processing workflows.

The role involves integrating LLMs, prompt engineering, RAG concepts, and deploying AI models across environments; familiarity with Docker, Git, and AI compliance will help.

Full-time position with opportunities to contribute to cutting-edge AI projects in a dynamic team.

Qualifications

• Strong hands-on Python knowledge and API development with FastAPI/Flask.
• Experience in data processing and AI-enabled workflows using Python.
• Knowledge of LLMs, prompt engineering, RAG architecture and agentic AI.
• Basic knowledge of hybrid prompting techniques.

Skills

Python

API development

Data processing

LLM / Prompt engineering

Hybrid prompting

Tools

Gemini LLM

PyTorch

TensorFlow

Keras

NLP

Docker

Git

Job description

Location: Irving TX / Tampa FL / Edison NJ

Hiring Mode: Full Time Only

Note: This is a full-time position only. Please do not apply if you are looking for a C2C opportunity. OPT candidates are also requested not to apply.

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