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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** H2o Partners, Inc - **Location:** Duluth, MN, United States - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon S3, Application Integration Architecture, Bootstrap (Software), Cloud Computing, Software Quality, Continuous Delivery, Continuous Integration, Information Engineering, Programming Tools, Design of User Interfaces, Human-Computer Interaction, Python (Programming Language), Machine Learning, Natural Language Processing, NoSQL, Open Source Technology, Cloud Services, Next.js, Software Engineering, SQL Databases, Data Streaming, Systems Integration, Privacy Controls, Scripting, Pytorch, ReactJS, Large Language Models, Deep Learning, Generative AI, Backend, Fastapi, Kubernetes, Information Technology, Free and Open-Source Software, Front End Software Development, Api Design, Docker, Programming Languages - **Published:** September 30, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-duluth-ga--48964e15-2d7d-47af-8409-04f3fde5ca0b ## About the Role * Bachelor's, Master's or PhD degree in Computer Science, Engineering, or a related field preferred, but not mandatory * Proven experience as a Full Stack Engineer or similar role in software development * Hands-on experience in data engineering, machine learning model development, and full-stack application development * Contribution on open source projects * Public track record of AI experience Technical Skills: * Programming Languages: Core proficiency in Python, some experience in JavaScript expected. * AI/ML Frameworks: Proficient in PyTorch, Basic understanding of how to fine-tune deep learning models focusing on LLMs. * Backend: Python, FastAPI, SQL/NoSQL/S3. * Frontend: Experience with frontend frameworks such as React and NextJS. * Deployment: Docker, Kubernetes, CI/CD pipelines, Experience with cloud services, deploying LLMs efficiently. * GenAI tools: OpenAI API endpoints, agents, and integration into applications. * Tools: Ability to utilize AI-assisted coding tools and platforms to accelerate development. * Problem-Solving: Excellent analytical and problem-solving skills with a keen attention to detail. Can quickly adopt new technologies. How to Stand Out From the Crowd * Innovative Projects: Demonstrated experience in bringing AI solutions from concept to market, with a portfolio showcasing successful projects. * Advanced Knowledge: Expertise in advanced Deep Learning topics, prime focus on Natural Language Processing. * Open Source Contributions: Active participation in the AI and software development community through contributions to open-source projects. * Creativity and Passion: A demonstrated passion for innovation, with the ability to think outside the box and propose creative solutions to complex problems. * Adaptability: Comfortable working in a fast-paced environment with a willingness to embrace new technologies and methodologies., Analysis Skills, Application Integration, Application Programming Interface (API), Artificial Intelligence (AI), Bootstrap, Cloud Applications, Cloud Computing, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Modeling, Data Science, Deep Learning, Detail Oriented, Docker, Government, Insurance, JavaScript, Leading Edge Technology, Machine Learning, Machine Tool, National Institutes of Health (NIH), Natural Language Processing (NLP), NoSQL, Open Source, Privacy Controls, Problem Solving Skills, Production Systems, Programming Languages, Programming Tools, Python Programming/Scripting Language, React.js, SQL (Structured Query Language), Software Development, System Integration (SI), Systems Scalability, User Interface/Experience (UI/UX) ## Description As an AI Engineer, you will directly collaborate with the Kaggle GM team to bootstrap the development and deployment of transformative AI solutions from concept to market. In this role, you will collaborate on the end-to-end pipeline-data engineering, model development, backend and frontend, system integration, and scalable deployment. You know how to quickly adopt new technologies and utilize modern tooling for development. Preferred location Europe, DACH highly preferred. What You Will Do * End-to-End Development: Collaborate on the design, development, and implementation of AI applications across the full stack, ensuring seamless integration between frontend, backend, and AI components. * API and Backend Development: Create robust backend services and APIs to support AI functionalities, enabling efficient data flow and integration. * Frontend Development: Develop intuitive user interfaces that provide exceptional user experiences, turning complex AI functionalities into user-friendly applications. * Deployment and Scaling: Deploy AI models and applications using cloud platforms, ensuring scalability, reliability, and performance in production environments. * Tool Utilization: Leverage advanced development tools and AI-assisted coding platforms to enhance productivity and code quality. ## Related Videos - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [GraphQL + Apollo + Next.js: A Lovely Trio](https://www.wearedevelopers.com/videos/311-graphql-apollo-next-js-a-lovely-trio) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)