Gen AI Engineer

Tata Consultancy Services; Irving (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading consultancy service provider is seeking a qualified candidate for an AI-focused role in Irving, Texas. The position involves developing API solutions, managing AI workflows, and maintaining AI models. Candidates should have a solid foundation in Python, experience with FastAPI/Flask, and knowledge of LLM and Generative AI tools. A Bachelor's degree in Computer Science is required. The role offers a competitive salary range between $120,000 and $160,000 per year.

Qualifications

• Strong hands-on Python knowledge.
• Hands-on experience in developing API Development using FastAPI/Flask.
• Working experience in AI workflows using Python.

Responsibilities

• AI workflow development.
• Prompt engineering.
• Deployment and maintenance of AI models across all environments.
• Code review, testing, and documentation.

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

Education

Bachelor of Computer Science

Tools

PyTorch

TensorFlow

Keras

Docker

Git

Job description

Job Description

Must Have Technical/Functional Skills

• Strong hands‑on Python knowledge
• Hands‑on experience in developing API in Python using FastAPI or Flask framework
• Working experience in data processing and AI‑enabled workflows using Python
• Knowledge of LLM, Prompt Engineering, RAG Architecture, and Agentic AI
• Basic knowledge of hybrid prompting technique
• Knowledge in generative AI tools like LangChain, Hugging Face, LlamaIndex, etc.

Good To Have

• Working experience with Gemini LLM
• Hands‑on knowledge in machine learning frameworks such as PyTorch, TensorFlow, and Keras
• Hands‑on knowledge in NLP
• Understanding of model deployment and containerisation (Docker)
• Understanding of version control systems (Git)
• 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

Salary Range: $120,000 to $160,000 per year

Qualifications

Bachelor of Computer Science