Responsibilities of AI Engineering Intern Job Opening at Atlan:

• Learn from experts with decades of experience. Understand customer needs, market dynamics, and what drives success.
• Get a chance to build AI-native systems and experiences — leveraging AI not just as a feature, but as a core part of how our product works and how users interact with it.
• As an AI Engineering Intern, you’ll get the opportunity to work on one (or more) of these focus areas:

1. 1. AI Experimentation – Drive innovation through continuous experimentation with cutting-edge AI technologies. Build POCs, prototype novel AI applications, evaluate emerging tools and techniques, and translate research papers into working implementations that push the boundaries of what’s possible with LLMs.
   2. Conversational Search & Advanced RAG – Build and optimize production RAG pipelines that power Conversational Search and beyond. Experiment with hybrid retrieval strategies, graph RAG, multi-modal search, and advanced techniques like HyDE, query decomposition, and self-reflective RAG to continuously improve how users discover and understand data.
   3. AI-Native Developer Experience – Pioneer Atlan’s journey toward an AI-native SDLC by building specialized AI agents and MCP (Model Context Protocol) servers that transform how our engineering team works—from intelligent code generation and automated testing to context-aware debugging and documentation.
   4. Agentic Systems & Orchestration – Design and implement experimental multi-agent workflows that can autonomously handle complex tasks. Build proof-of-concepts with frameworks like CrewAI, AutoGen, and LangGraph, exploring how AI agents can collaborate to solve data governance challenges.
   5. AI Platform & Infrastructure Innovation – Develop the foundational AI platform powering both product features and internal tools. Experiment with prompt optimization techniques, build evaluation frameworks, implement observability for LLM applications, and create MCP servers that extend AI capabilities across Atlan’s ecosystem.

Requirements qualifications, capabilities, and skills:

• Students currently pursuing a Bachelor’s degree in Engineering in India who can commit to full-time internship.
• Major or concentration in Computer Science or a closely related field.
• You must commit for the one-week in-person onboarding and 6 months of fully remote full-time internship.
• Demonstrate dedication to the internship.
• Show passion and drive to succeed in the tech industry (assessed via application questions and program interviews)

⚠️ Important Note:

This is a direct hiring opportunity – No hidden fees or charges for applying!

About the Company

Responsibilities of Backend Engineering Intern Job Opening at Atlan:

• Learn from experts with decades of experience. Understand customer needs, market dynamics, and what drives success.
• Get a chance to build AI-native systems and experiences — leveraging AI not just as a feature, but as a core part of how our product works and how users interact with it.
• As a Backend Engineering Intern, you’ll get the opportunity to work on one (or more) of these focus areas:
  1. App Framework – Contribute to Atlan’s latest app framework, enabling developers to build powerful, scalable apps directly on top of Atlan’s platform, accelerating how customers extend and customize Atlan.
  2. Connector Development – Build and scale the connectors that expand Atlan’s reach across the modern data ecosystem, deepening integrations, boosting performance, and enabling seamless data flow between systems.
  3. Metastore – Contribute to one of Atlan’s most critical microservices: our Metastore, a metadata management system that houses all the metadata ingested into Atlan. It powers both our platform and product, serving as the backbone for how teams discover, govern, and collaborate on Atlan.
  4. Metadata Lakehouse – Help build Atlan’s next-generation metastore, designed for the future. The Metadata Lakehouse brings modern data lake/warehouse architectures, Apache Iceberg, and high-performance metadata systems together to scale with the evolving needs of data and AI teams.
  5. Platform & Infrastructure – Work on the foundation that keeps Atlan running smoothly, including our Metastore and Metadata Lakehouse infrastructure. Tackle challenges like service isolation, operator rollouts, backup systems, observability, and automated maintenance workflows to ensure our platform is reliable, scalable, and resilient.

Requirements qualifications, capabilities, and skills:

• Students currently pursuing a Bachelor’s degree in Engineering in India who can commit to full-time internship.
• Major or concentration in Computer Science or a closely related field.
• You must commit for the one-week in-person onboarding and 6 months of fully remote full-time internship.
• Demonstrate dedication to the internship.
• Show passion and drive to succeed in the tech industry (assessed via application questions and program interviews).

⚠️ Important Note:

This is a direct hiring opportunity – No hidden fees or charges for applying!

About the Company