Software Engineer, AI Agentic Search, Early Career
NotionHyderabad, IndiaPosted 1 March 2026
Tech Stack
Job Description
Software Engineer, AI Agentic Search, Early Career
ABOUT US:
Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
ABOUT THE ROLE:
We are seeking a software Engineer with at least 2-5 years of experience to work in the AI Connectors team. AI Connectors power AI agentic search, enabling customers to find answers across applications like Slack, Google Drive, Salesforce, and GitHub through Notion AI connectors https://www.notion.so/help/notion-ai-connectors-beta.
You'll build the end-to-end AI agentic search experience: Design and ship connectors from scratch, keeping third-party data continuously in sync. Build semantic search infrastructure powered by vector embeddings and efficient storage systems. Transform natural language questions into intelligent queries across multiple data sources. Implement ranking systems that surface the most relevant results while respecting user permissions and access controls. Scale to millions of documents across thousands of customers.
You're a builder who thrives in fast-paced environments with a track record of shipping frequently.You have a strong foundation in distributed systems and data pipelines, with exposure to databases and production infrastructure. You write clean, maintainable code and are eager to take ownership of tasks with guidance. You make thoughtful technical decisions, ask the right questions when things are ambiguous, and learn quickly. You collaborate well with teammates and contribute to projects that power intelligent, agent-driven search experiences at scale.
WHAT YOU'LL ACHIEVE:
- You’ll work with a team of engineers and cross-functional partners across product, design, data science, and user research to define a product strategy and drive execution through conception, research, implementation, and maintenance.
- You’ll build and maintain foundational pieces of Notion’s building blocks, enabling a wide array of use cases in Notion such as docs, wikis, issue tracking, project management, and more.
- You’ll contribute to the overall performance, reliability, and robustness of the Notion product, ensuring it scales elegantly across many dimensions.
- You’ll partner with engineering leaders to identify and execute against high leverage technical investment that ensure the long-term flexibility and sustainability of our core systems.
SKILLS YOU'LL NEED TO BRING:
- Proven track record of execution: You have at least 2 years of fullstack engineering experience, including building world-class product experiences alongside a team of engineers.
- Shipping quality user interfaces: You partner closely with product and design to craft beautiful user experiences for large audiences, leveraging backend technologies. If you've experienced the technical challenges of rapid growth, that's a plus.
- Building the team: You enjoy collaborating with both fellow engineers and cross-functional partners. You are a lifelong learner and invest in both your own growth, but also the growth, learning, and development of your teammates.
- Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think critically about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity flawlessly, decompose complex problems in ... (truncated, view full listing at source)
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