Job ID: 11381
Location: Minneapolus, Minnesota
Category: IT
Employment Type: Individual Consulting
Date Added: 03/25/2026
Team: AI / Emerging Technology Team
Location: Hybrid (Tue – Thurs) – Minneapolis, MN
Duration: 6-month CTH
Our client is building the future of local media by deploying end-to-end, high-impact AI solutions to solve the most complex challenges. We are looking for a Full-Stack AI Engineer to lead the development of end-to-end AI solutions. You will build production-grade AI/ML solutions for predictive analytics, dynamic personalization, and LLM-based applications, including building APIs & UIs.
Key Responsibilities
- Full-Stack AI Application Development: Design and maintain robust APIs (Node.js, NestJS) and intuitive UIs (React, NestJS) to make AI tools easy to use for non-technical users. Build, optimize, and deploy machine learning models using frameworks like PyTorch and Scikit-learn. Implementation robust governance frameworks and safety guardrails to mitigate risks of AI features.
- LLM & RAG: Implement generative AI solutions, including advanced, multi-modal Retrieval-Augmented Generation (RAG) pipelines.
- Agentic Orchestration: Build autonomous AI agents capable of complex multi-step reasoning and tool-calling. These agents will perform tasks like writing code and triaging production issues.
- Production MLOps & Observability: Implement comprehensive monitoring for LLM drift, latency, and “hallucination” rates to ensure enterprise-grade reliability.
- Cloud-Native Infrastructure: Leverage Docker, Kubernetes, and CI/CD pipelines to ensure scalable, automated deployments across cloud environments (AWS/GCP/Azure).
Technical Qualifications
- Full-Stack Proficiency: 5+ years of experience across the entire tech stack, including Node.js, Python, and modern web frameworks (React/NestJS).
- Advanced Data Engineering: Expertise in ELT/ETL and advanced SQL, with a focus on data quality and governance.
- Generative AI Expertise: Proven track record of deploying LLM-based applications in production, including prompt engineering and RAG optimization.
- DevOps Mindset: Strong experience with Terraform/IaC and automated testing frameworks to manage complex Prod AI environments in AWS, GCP, or Azure.
Leadership & Culture
- Mentorship: Guide junior engineers on best practices for AI ethics, data governance, and code quality.
- Adaptability: Comfort switching between building cutting edge AI solutions and practical data engineering tasks based on project needs.
The projected hourly range for this position is $85.00-$100.00
On-Demand Group (ODG) provides employee benefits which includes healthcare, dental, and vision insurance. ODG is an equal opportunity employer that does not discriminate on the basis of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other characteristic protected by law.