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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Research Engineer - Enterprise Automation - **Company:** NIO - **Location:** San Jose, CA, United States - **Experience:** Experienced - **Salary:** $163,500.0 - $212,400.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Information Engineering, Data Governance, Decision Support Systems, Graph Database, High-Level Architecture, Python (Programming Language), Knowledge-Based Systems, Machine Learning, Tensorflow, Software Engineering, Reinforcement Learning, Google Cloud, Enterprise Software Applications, Cloud Platform System, Pytorch, Large Language Models, Multi-Agent Systems, Deep Learning, Information Technology, Free and Open-Source Software, Machine Learning Operations, Data Pipelines - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/5ba1a84c-b4f9-4a3e-83e9-0b95299a7574 ## About the Role We are seeking a highly skilled AI Research Engineer to design, prototype, and optimize end-to-end AI systems that automate enterprise workflows. In this role, you'll bridge applied research and engineering-developing cutting-edge AI models, tools, and platforms that streamline decision-making, improve operational efficiency, and unlock new capabilities for enterprise users., * MS or PhD in Computer Science, Electrical Engineering, or related field. * 3+ years of experience in applied AI/ML research or engineering. * Solid understanding of deep learning, LLMs, and model architectures (e.g., Transformers, diffusion models). * Skilled in Python and ML frameworks such as PyTorch, TensorFlow. * Experience building and deploying AI for enterprise automation or intelligent assistants. * Strong software engineering background, with experience in scalable systems, APIs, and cloud environments (AWS, Google Cloud Platform, or Azure). * Excellent problem-solving and communication skills., * Experience with multi-agent systems, data orchestration, or autonomous workflows. * Knowledge of knowledge graphs, vector databases, or retrieval-augmented systems. * Familiarity with enterprise security, compliance, and data governance. * Published research or open-source contributions related to AI automation or applied ML. ## Description * Conduct applied research in AI and machine learning for process automation, knowledge systems, and intelligent decision support. * Prototype, train, and deploy models that integrate with enterprise tools (e.g., ERP, CRM, LLM interfaces, and knowledge graphs). * Collaborate with cross-functional teams in data engineering, product, and business functions to identify automation opportunities and deploy scalable AI solutions. * Develop pipelines and infrastructure for continuous learning and model optimization in production environments. * Stay current with advancements in foundation models, multimodal AI, reinforcement learning, and autonomous agents, and evaluate their potential enterprise applications. * Publish internal technical reports and contribute to the company's intellectual property portfolio. ## Related Videos - [AI in Production: applied AI & enterprise use cases](https://www.wearedevelopers.com/videos/100130-ai-in-production-applied-ai-enterprise-use-cases) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Cloud Run- the rise of serverless and containerization](https://www.wearedevelopers.com/videos/106-cloud-run-the-rise-of-serverless-and-containerization) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [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) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)