> Markdown version of [/jobs/ext/4707541-lead-software-engineer](https://www.wearedevelopers.com/jobs/ext/4707541-lead-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Software Engineer - **Company:** Quantum Technologies - **Location:** Minneapolis, MN, United States - **Experience:** Expert - **Salary:** $166,400 - **Contract:** Contract - **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Optical Character Recognition (OCR), Microsoft Azure, Cloud Computing, Computer Programming, Google Docs, Information Extraction, Python (Programming Language), Machine Learning, Open Source Technology, OpenAI, SQL Databases, Google Cloud, Pytorch, Retrieval-Augmented Generation, Transfer Learning, Flask (Web Framework), Large Language Models, Google Vertex AI, Deep Learning, Generative AI, Agentic-AI, Fastapi, Information Technology, Structured Output Generation, CrewAI, Restful APIs, Streamlit Framework, Docker, Unsupervised Learning - **Published:** November 13, 2026 - **Apply:** https://www.dice.com/job-detail/3b9b593c-2ab0-40da-b736-446f0c12aed0 ## About the Role * Strong experience in Generative AI, Machine Learning, and LLMs. * Hands-on experience implementing real-world GenAI projects. * Experience with LLM Fine-Tuning, RAG, and RAG Architecture. * Enterprise-level Agentic AI implementation using LangGraph, Google ADK, CrewAI, or similar frameworks. * Strong knowledge of OpenAI and open-source LLMs. * Experience with Google Document AI, OCR, and document extraction solutions. * Hands-on experience with Google Vertex AI. * Experience with vector databases, embeddings, and structured output generation. * Strong programming skills in Python, PyTorch, and SQL. * Experience with OpenAI APIs, REST APIs, FastAPI, Flask, and Streamlit. * Knowledge of Docker and cloud platforms such as Google Cloud Platform, AWS, or Azure. * Understanding of NLP, Deep Learning, supervised and unsupervised learning., * Bachelor's degree or higher in Computer Science, Engineering, or a related field. * 7 years of overall professional experience. * Minimum 3+ years of hands-on AI/ML experience.