Gen AI Engineer

Siri InfoSolutions Inc; Tampa (FL); On-site; USD 100,000 - 130,000; Full time

Job summary

Siri InfoSolutions Inc in Tampa, Florida is seeking a Gen AI Engineer to design and implement AI-powered workflows. You will intensively use Python for building APIs with FastAPI/Flask and to process data for AI applications.

The role emphasizes hands-on development, model deployment across production environments, and ongoing learning in Generative AI, LLMs, and prompting techniques.

Onsite work in Tampa offers collaboration with a focused team on cutting-edge AI projects.

Qualifications

• Strong hands-on Python knowledge.
• Experience with API development in Python using FastAPI/Flask.
• Experience in AI-enabled data processing workflows using Python.
• Knowledge of LLMs, prompt engineering, and RAG architectures.
• Familiarity with hybrid prompting techniques.
• Experience with Generative AI tools like LangChain, HuggingFace, and LlamaIndex.

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

Skills

Python

FastAPI/Flask

Data processing

LLM & Prompting

Hybrid prompting

LangChain

HuggingFace

LlamaIndex

Tools

Docker

Git

PyTorch

TensorFlow

Keras

NLP

Job description

Section

Details

Job Title

Gen AI Engineer

Job Type

Full Time

Client Location

Tampa,FL

Work Arrangement

Onsite

Duration

Full Time

Pay Rate / Salary

$100-$130k/yr.

Job Summary

• 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 etc.

Key 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

Required Qualifications

• 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