Lead Software Engineer – GenAI / GCP

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

Job summary

Robotics Technologies LLC in Minneapolis, MN, seeks a Lead Software Engineer to architect and build GenAI/GCP solutions for enterprise use. You will design, implement, and scale AI systems with a focus on reliability and production readiness.

Responsibilities include building RAG apps, fine-tuning LLMs, document processing with DocAI, and integrating with Vertex AI, LangGraph, and containerized deployments in cloud environments (GCP/AWS/Azure).

Qualifications

• Strong hands-on experience with Python, Google Vertex AI, and Google Document AI (DocAI).
• Experience building enterprise-grade Generative AI and LLM solutions.
• Experience with LLM fine-tuning, deployment, and performance tuning.
• Develop intelligent document processing with OCR and DocAI.
• Strong cloud experience with GCP, AWS, or Azure.

Responsibilities

• 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.
• Develop scalable AI applications using Python, FastAPI, Flask, and REST APIs.
• Experience with Docker and containerized application deployment.
• Hands-on experience with vector databases, embedding models, and semantic search.
• Build and integrate AI-powered applications for enterprise business use cases.
• Optimize AI solutions for scalability, reliability, performance, and production deployment.

Skills

Python

Vertex AI

DocAI

LLMs

Fine-tuning

NLP

PyTorch

Vector DB

Embeddings

Semantic search

FastAPI

Flask

REST APIs

Docker

Tools

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.