Lead GenAI Engineer | GCP, LLMs, Document AI

Cloud Analytics Technologies, LLC; Minneapolis (MN); In loco; USD 77.000 - 110.000; Tempo pieno

Descrizione del lavoro

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.

Competenze

• 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

Mansioni

• 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.

Conoscenze

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

Strumenti

Docker

FastAPI

Flask

Containerization

Descrizione del lavoro

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.