Lead Software Engineer – GenAI / GCP

Quantum Technologies. LLC; Minneapolis (MN); On-site; USD 77,000 - 110,000; Full time

Job summary

Quantum Technologies LLC is seeking a Lead Software Engineer focused on GenAI/GCP in Minneapolis, MN for an initial 6-month engagement with extension possible. The role offers a flexible, high-impact environment with a bill rate of $68/hour and multiple work arrangements (W-2, 1099, C2C).

The candidate will lead design and implementation of enterprise-grade GenAI solutions, build RAG apps, fine-tune LLMs, and deploy AI workloads on cloud platforms, using Python, FastAPI/Flask, and containerized

Qualifications

• Hands-on experience with Python and AI frameworks.
• Experience with LLM fine-tuning and deployment.
• Experience with Docker and containerized deployment.
• Cloud experience with GCP/AWS/Azure.
• Experience with vector databases and embeddings.
• Develop scalable AI applications using Python and REST frameworks.

Responsibilities

• Design and implement GenAI and LLM-based solutions.
• Build RAG-based apps using retrieval, embeddings and vector databases.
• Develop document processing solutions using OCR and DocAI.
• Optimize AI workloads for production deployment and scalability.
• Collaborate with teams to integrate AI-powered applications for enterprise use cases.

Skills

Python

NLP

ML

Deep Learning

PyTorch

LLMs

Vector databases

Semantic search

REST APIs

Cloud (GCP/AWS/Azure)

Tools

Google Vertex AI

Google Document AI

LangGraph/CrewAI

FastAPI

Flask

Docker

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Lead Software Engineer - GenAI/GCP
Location: Minneapolis, MN
Duration: 6 Months + Extension
Bill Rate: $68/hour
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description

Strong hands-on experience in Python, Google Vertex AI, and Google Document AI (DocAI).

Design, develop, and implement enterprise-grade Generative AI and LLM-based solutions.

Build RAG-based applications using retrieval, embeddings, and vector databases.

Implement enterprise-level Agentic AI workflows using LangGraph, Google ADK, CrewAI, or similar frameworks.

Experience with LLM fine-tuning, deployment, optimization, and performance tuning.

Develop intelligent document processing solutions using OCR, Google Document AI, and automated data extraction.

Strong understanding of NLP, Machine Learning, Deep Learning, and PyTorch.

Experience working with OpenAI APIs and open-source Large Language Models (LLMs).

Hands-on experience with vector databases, embedding models, and semantic search.

Develop scalable AI applications using Python, FastAPI, Flask, and REST APIs.

Experience with Docker and containerized application deployment.

Strong cloud experience with GCP, AWS, or Azure.

Build and integrate AI-powered applications for enterprise business use cases.

Optimize AI solutions for scalability, reliability, performance, and production deployment

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.