Software Engineer, Early Career
Early-career engineer building and productionizing AI-powered features at Notion using LLMs and embeddings. Less than 2 years experience; strong fundamentals in algorithms, data structures, and distributed systems required.
About the job
Responsibilities
- Partner with your team to prototype and ship an AI-powered product improvement.
- Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.
- Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
- Help shape core user experiences and accelerate how people discover value in Notion.
- Tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience.
- Take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision.
- Work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies.
- Depending on team: build model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability); improve model integration and performance (latency, cost, safety, robustness) and build infrastructure for model serving and experimentation; or create evaluation frameworks and automated/human-in-the-loop testing.
Requirements
- Less than two years of engineering experience.
- Solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
- Expertise building and prototyping: excited to build and iterate quickly; started exploring AI/ML through coursework, projects, internships, or hackathons.
- Comfortable learning how different parts of a product fit together (UI, APIs, data).
- Some familiarity with relational databases like Postgres or MySQL.
- Can take an idea from prototype to a working feature with guidance.
- Thoughtful problem-solving: approach problems holistically, think about implications for real people, navigate ambiguity, decompose complex problems, balance business impact.
- Impact-driven approach to technology: see technologies as tools for user impact; pragmatic about choosing the right tool; stay current with tools like Cursor, Claude Code, and AI-assisted development environments.
- Proactive communication and high agency: own your work, communicate clearly, show initiative, identify needs, drive projects forward.
Nice-to-Haves
- Experience with React, TypeScript, Node.js, Postgres, and Elasticsearch.
- Care about the interaction between technology and society.
- Familiarity with computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay.
Skills
LLMs, Embeddings, AI/ML, React, TypeScript, Node.js, Postgres, MySQL, Elasticsearch, Data Structures, Algorithms, Distributed Systems
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