GenAI Engineer (Python / LLM / RAG)

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

GenAI
Python
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)

Job Details

Position:  GenAI Engineer (Python / LLM / RAG)

Location: Irving TX or Alpharetta, GA

Duration: 8-12 Months

Rate: D.O.E

 

 

Role Summary:

We are looking for a hands-on GenAI Engineer with strong experience in Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) to design, build, and optimize AI-powered applications and solutions.

 

 

Key Skills

•             GenAI / LLMs:

o             Model fine-tuning, prompt engineering

o             Experience with OpenAI, Anthropic, HuggingFace, Llama, etc.

•             RAG Development:

o             Building vector databases, embeddings, document chunking

o             Tools: FAISS / Pinecone / Chroma / Weaviate

•             Python Programming:

o             Strong hands-on scripting, API integrations, frameworks (FastAPI/Flask)

•             AI Pipelines & Architecture:

o             Designing end-to-end GenAI systems

o             Working with cloud platforms (AWS / Azure / Google Cloud Platform)

•             Data Engineering Basics:

o             ETL, unstructured data processing, metadata extraction

 

 

Responsibilities

•             Build and deploy GenAI solutions using Python, LLMs, and RAG pipelines

•             Develop and optimize prompts, embeddings, and vector search workflows

•             Fine-tune models for domain-specific use cases

•             Integrate AI components into applications using APIs and microservices

•             Collaborate with product, data, and engineering teams to deliver scalable solutions

 

 

Thank You,

Augustin Ahmed

Parmesoft Inc,

Ph:

Fax:

Email:

 

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