Lead Software Engineer – GenAI / GCP

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

Job summary

Cloud Analytics Technologies, LLC is seeking a Lead Software Engineer to design and implement enterprise-grade GenAI solutions on Google Cloud Platform. The role focuses on Python, Vertex AI, DocAI, NLP, and ML/DL, building RAG-based applications and scalable REST APIs.

You will drive architecture for agentic AI workflows, work with open-source LLMs and OpenAI APIs, and ensure production-grade deployment with Docker containers and cloud infra.

Qualifications

• 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

Responsibilities

• Design, develop, and deploy enterprise-grade GenAI solutions.
• Build RAG-based apps using embeddings and vector databases.
• Implement AI workflows using LangGraph, CrewAI, or similar frameworks.
• Fine-tune, deploy, and optimize LLMs for production.
• Develop OCR-based intelligent document processing pipelines with DocAI.
• Create scalable APIs using Python, FastAPI, Flask, and REST.
• Deploy containerized apps on GCP/AWS/Azure.

Skills

Python

GenAI

Vertex AI

DocAI

NLP

ML

Deep Learning

PyTorch

OpenAI APIs

Vector databases

Embeddings

Semantic search

REST APIs

FastAPI

Docker

Cloud (GCP/AWS/Azure)

LangGraph

CrewAI

Tools

Docker

FastAPI

Flask

Containerization

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.