Lead Software Engineer – GenAI / GCP

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

Job summary

Artifintech in Minneapolis seeks a Lead Software Engineer to architect GenAI/GCP solutions. You will guide design and implementation of enterprise-grade AI systems leveraging Python, Vertex AI, and DocAI.

The role emphasizes building RAG apps, fine-tuning LLMs, NLP, ML, and deploying scalable services via Docker, FastAPI/Flask, and REST APIs on cloud platforms.

Qualifications

• Hands-on Python with ML/AI workflows.
• Experience with GenAI and LLMs on cloud platforms.
• Experience with vector databases and semantic search.

Responsibilities

• Design, develop, and implement enterprise-grade Generative AI and LLM-based solutions.
• Build RAG-based applications using retrieval, embeddings, and vector databases.
• Fine-tune, deploy, optimize, and tune performance of LLMs.
• Develop intelligent document processing solutions using OCR and DocAI.
• Work with OpenAI APIs and open-source LLMs and Dockerized services.
• Develop scalable AI applications using Python, FastAPI, Flask, and REST APIs.
• Ensure cloud readiness with GCP/AWS/Azure and containerized deployment.
• Collaborate across teams to deliver AI-powered business use cases.

Skills

Python

Vertex AI

Document AI

NLP

LLM

PyTorch

Vector databases

REST APIs

Tools

Docker

FastAPI

Flask

LangGraph

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.