Lead Software Engineer – GenAI / GCP

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

Job summary

Ethereum Technologies in Minneapolis, MN seeks a Lead Software Engineer to design and implement GenAI/Large Language Model solutions. You will drive NLP, ML, and AI product work using Python, Vertex AI, DocAI, and embedding/vector search techniques.

Role emphasizes scalable enterprise-grade architectures, RAG retrieval, and production deployment across cloud platforms (GCP/AWS/Azure). Strong containerization and API exposure are required.

Qualifications

• Proven hands-on Python development experience.
• Experience with Google Vertex AI and Google Document AI.
• Strong knowledge of NLP, ML, DL and PyTorch.
• Experience with OpenAI APIs and open-source LLMs.
• Familiarity with vector databases, embeddings and semantic search.
• Experience deploying AI solutions with Docker and cloud platforms.

Responsibilities

• 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.
• 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

Skills

Python

Google Vertex AI

Google Document AI

LLMs

NLP

PyTorch

FastAPI

REST APIs

Docker

Vector databases

Embeddings

Tools

LangGraph

Google ADK

CrewAI

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.