Software Engineer — Intern

At Olis, we're building the next foundational layer of enterprise infrastructure, the ambient memory system. Our mission is to transform how Fortune 100-500 companies operate by making organizational knowledge behave like cognition, embedding real-time knowledge into the tools employees already use;
Slack, Outlook, Notion, SharePoint, and more. We're making enterprise memory behave like a living system supportive exactly when it's needed.

It's not about automating tasks anymore, it's about restoring intelligence to enterprise workflows. It's about replacing fragmented documents and repeated questions with supported clarity that meets users where they are.

We’re creating secure, context-aware solutions that integrate seamlessly with existing workflows. As part of a small, fast-moving team, you’ll have the opportunity to work on meaningful product features end-to-end.

We’re looking for a Software Engineer Intern who is comfortable working across both frontend and backend development. This role involves building user-facing features, strengthening backend systems, and ensuring smooth integration of enterprise data sources. You’ll gain exposure to LLM-powered applications
, testing/debugging workflows, and scalable backend design while collaborating directly with the founding team.

• Contribute to both frontend (React/Next.js) and backend (Python/Node.js) codebases.
• Implement and test API integrations with external services (Slack, Outlook, Google Drive, SharePoint, etc.).
• Develop features around authentication, data ingestion, and metadata logging.
• Assist with chat history handling and data absorption pipelines.
• Write clean, testable code and participate in debugging and code reviews.
• Collaborate with the team to improve performance, reliability, and security.

• Pursuing or recently completed a Bachelor’s/Master’s in Computer Science or related field (US-based, remote).
• Familiarity with APIs, databases (SQL/No
  
  SQL), and authentication systems.
• Experience or coursework in LLMs/NLP applications (e.g., prompt handling, embeddings, or retrieval systems).
• Knowledge of testing/debugging tools and practices (unit tests, integration tests).
• Exposure to backend tools such as Airflow (orchestration), Kafka (streaming/queues), Clickhouse/Parquet (logging/analytics), or equivalent.
• Comfort with cloud platforms (AWS, GCP, or Azure).
• Bonus:
  Experience with observability/monitoring tools (Grafana, logging frameworks).

• Work directly with the founding team on core product challenges.
• Get hands‑on experience in both frontend and backend, with a focus on AI-driven systems.
• Opportunity to learn startup execution and make a visible impact.