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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Applications and Data Science Engineer - **Company:** CXApp US, Inc. - **Location:** San Ramon, CA, United States - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Application Integration Architecture, Microsoft Azure, Cloud Computing, Computer Programming, Information Engineering, Extract Transform Load (ETL), Data Security, Data Systems, Python (Programming Language), Performance Tuning, Recommender Systems, Chatbots, Data Lakes, Data Analytics, Virtual Agents, Data Pipelines - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/ai-applications-and-data-science-engineer-cxapp-us-inc-7202451 ## About the Role * Bachelor's or Master's degree in Computer Science, Data Science, or a related field. * Proven experience in NLP and chatbot development. * Strong expertise in predictive analytics and recommendation systems. * Proficiency in data engineering, ETL processes, and data automation. * Hands-on experience with AI and data science tools and frameworks. * Programming skills in Python, Java, or relevant languages. * Knowledge of cloud platforms (e.g., AWS, Azure) for AI and data solutions. * Understanding of data security and compliance regulations. * Excellent problem-solving and communication skills. * A collaborative and innovative mindset. * Commitment to continuous learning and professional development. ## Description As an AI Applications and Data Science Engineer at CXAPP, you will be at the forefront of our AI and data-driven initiatives. You will play a pivotal role in designing and developing AI-driven applications and systems, including NLP-powered chatbots, predictive analytics models, recommendation engines, and data automation solutions. This role offers a unique opportunity to work on exciting projects and make a meaningful impact on our organization and clients., 1. NLP and Chatbot Development: Lead the design, development, and maintenance of NLP-powered chatbots and virtual assistants to enhance user experiences and automate interactions. 2. Predictive Analytics: Design and implement predictive models to forecast trends, user behavior, and business outcomes, providing data-driven insights. 3. Recommendation Systems: Develop recommendation engines that personalize content, products, or services for users, optimizing engagement and satisfaction. 4. Data Engineering: Build robust data pipelines, data lakes, and ETL processes to collect, preprocess, and transform data for analysis and modeling. 5. Automation: Implement automation solutions for repetitive tasks, optimizing efficiency and reducing manual workloads. 6. AI Integration: Collaborate with cross-functional teams to integrate AI and data science capabilities into existing systems and applications. 7. Performance Optimization: Optimize the performance and scalability of AI applications, ensuring real-time responsiveness. 8. Data Security and Compliance: Implement data security measures and ensure compliance with relevant data privacy regulations (e.g., GDPR). 9. Documentation: Maintain comprehensive documentation for AI models, data pipelines, and automation processes. 10. Collaboration: Work closely with data scientists, software developers, product managers, and business stakeholders to translate requirements into AI solutions. 11. Continuous Learning: Stay up-to-date with the latest AI and data science trends, technologies, and best practices. ## Related Videos - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Creating bots with Dialogflow CX](https://www.wearedevelopers.com/videos/587-creating-bots-with-dialogflow-cx) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Integrate your Cognitive Assistant with 3rd-party DBs and software](https://www.wearedevelopers.com/videos/249-integrate-your-cognitive-assistant-with-3rd-party-dbs-and-software) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [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) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)