About the position
At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and customer-obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. At Databricks Information Technology, we are a product-led organization transforming the way we work, from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth.
Responsibilities
- Architect complex solutions that integrate AI-powered features such as chatbots, virtual assistants, predictive recommendations, and agentic workflows.
- Design, develop, manage, and deploy scalable full-stack applications on cloud-native, distributed systems with embedded AI capabilities.
- Prototype and productionize AI use cases using tools like LLMs, vector databases, prompt engineering, and agentic workflows.
- Collaborate with Product Managers, UX Designers, Enterprise Security, Data Teams, and Integration Teams to deliver secure, scalable, AI-driven solutions.
- Mentor peers on best practices in full-stack development, cloud architecture, and AI technologies, helping to shape the team’s technical roadmap.
- Stay ahead of the curve by continuously researching and experimenting with emerging AI trends, frameworks, and tools to drive innovation.
Requirements
- 8 years of related experience with both front-end tools like ReactJS, Django, and backend stack such as Java, Go, and Python.
- Experience developing scalable, secure, and resilient applications.
- Hands-on experience building AI-powered solutions, including projects involving Generative AI (LLMs, agentic frameworks, Vector Search, prompt engineering etc.) or other machine learning technologies.
- Experience building integrated solutions with SaaS platforms such as Salesforce, Workday, ERP, etc.
- Strong experience with cloud technologies (AWS, Azure, or GCP), along with a solid grasp of DevOps practices and CI/CD pipelines.
- Demonstrated experience in design practices, code reviews, automated testing, and monitoring/logging.
- Deep understanding of security best practices, including systems that process sensitive or regulated data.
Benefits
- Comprehensive benefits and perks that meet the needs of all employees.
- Eligibility for annual performance bonus.
- Equity options.