AI/UI Engineer

About the role

3M is seeking an AI/UI Engineer to design, develop, and deploy AI‑driven applications that enhance our product portfolio. The role combines front‑end UI/UX development with back‑end AI integration, delivering high‑performance, scalable solutions for enterprise customers.

Key responsibilities

• Build responsive, accessible, high‑performance enterprise UI/UX from Figma designs using React.js, Next.js, TypeScript, TailwindCSS, and Material UI, including AI‑powered experiences such as chatbots, dashboards, and dynamic recommendations.
• Develop secure, scalable full‑stack solutions with Node.js and Python, creating RESTful and GraphQL APIs and working with databases like PostgreSQL, MongoDB, Redis, and vector stores (Pinecone, Weaviate, FAISS).
• Integrate LLM APIs, construct Retrieval‑Augmented Generation (RAG) pipelines, and implement real‑time streaming AI responses using Azure OpenAI, Anthropic, Azure Cognitive Search, AWS Kendra, and LangChain.
• Deploy, automate, and manage secure, highly available applications on Azure and AWS using App Services, ECS/EKS, serverless architectures, and CI/CD pipelines.
• Collaborate cross‑functionally with AI/ML engineers, designers, and product teams to optimise model deployment and deliver high‑quality user experiences.

Required profile

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Minimum 5 + years of experience building full‑stack AI applications, including at least 1 year focused on Generative AI.
• Proven expertise in AI applications such as RAG solutions, agentic AI systems, and UI/UX design.
• Hands‑on experience evaluating, fine‑tuning, deploying, and benchmarking large language models (e.g., GPT, Claude).
• Strong ability to optimise AI solutions for accuracy, relevance, cost, scalability, and low‑latency performance.

Required skills

• React.js
• Next.js
• TypeScript
• TailwindCSS
• Material UI
• Node.js
• Python
• RESTful APIs
• GraphQL
• PostgreSQL
• MongoDB
• Redis
• Pinecone
• Weaviate
• FAISS
• LLM APIs (Azure OpenAI, Anthropic)
• Azure Cognitive Search
• AWS Kendra
• LangChain
• Azure App Services
• AWS ECS/EKS
• Serverless architectures
• CI/CD pipelines