3M has a long-standing reputation as a company committed to innovation. We provide the freedom to explore and encourage curiosity and creativity. We gain new insight from diverse thinking, and take risks on new ideas. Here, you can apply your talent in bold ways that matter.Job Description:Key Responsibilities:Contribute to building full-stack AI applications, including Retrieval-Augmented Generation (RAG), AI agentic systems, and intuitive UI/UX for user-centric experiences.Implement AI-driven features using pre-trained models and APIs; apply prompt engineering and integrate services to meet specific business needs.Assist in evaluating and fine-tuning large language models (LLMs); run basic benchmarking and model comparisons to balance performance, scalability, and accuracy.Support optimization of AI models and pipelines to improve efficiency, reduce latency, and ensure scalability in production environments.Collaborate closely with product managers, software engineers, data scientists, and project managers to translate AI capabilities into practical solutions.Stay current with advancements in AI technologies, tools, and practices; proactively share learnings with the team.Your Skills and Expertise To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.2–3 years of experience building full-stack AI applications, including at least 1 year specifically in Generative AI.Hands-on experience with AI applications such as RAG solutions and AI agentic systems, plus basic UI/UX implementation.Experience evaluating, fine-tuning, and deploying large language models (LLMs) such as GPT, Claude, or similar LLMs.Practical skills in prompt engineering and model optimization for cost, scalability, and low-latency performance, including basic benchmarking and model comparisons.Additional qualifications that could help you succeed even further in this role include:Excellent communication and collaboration skills with product managers, data scientists, engineers, and stakeholders.Familiarity with MLOps practices, including model lifecycle management and CI/CD.Experience deploying AI applications on cloud platforms (AWS, Azure, GCP).Experience with modern AI development frameworks and tools (e.g., LangChain/LlamaIndex, Hugging Face, OpenAI/Anthropic APIs).Exposure to data pipelines, vector databases (e.g., FAISS, Pinecone), and monitoring/evaluation of AI systems.Learn more about 3M’s creative solutions to the world’s problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M.Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.3M Global Terms of Use and Privacy StatementCarefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms.Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.