At Atlan, were looking for passionate problem-solvers eager to take on big challenges. If you love building, learning, and pushing boundaries, this is your chance to work on real-world problems alongside a talented and driven engineering team. We re especially excited about
AI-native builders
those who already use AI tools in their daily development for coding, debugging, testing, or learning new technologies. We re seeking candidates who have demonstrated their skills whether through courses, open-source contributions, prior internships, or personal projects. At Atlan, interns don t just learn they build, innovate, and own impactful projects that shape the future of data and AI.
What makes this special
As an
AI Engineering Intern
, you will work on projects ranging from building advanced RAG pipelines for Conversational Search, to prototyping novel LLM applications, to creating AI agents that transform the developer experience. You could experiment with multi-agent orchestration, optimize AI infrastructure, or translate cutting-edge research into production-ready features all with the goal of pushing what s possible in AI-powered data governance.
What you ll do as an intern at Atlan?
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Learn from experts with decades of experience. Understand customer needs, market dynamics, and what drives success.
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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:
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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 whats possible with LLMs. -
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. -
AI-Native Developer Experience
Pioneer Atlans 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. -
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. -
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 Atlans ecosystem.
What makes you a great match for us?
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AI-native:
builders who already use AI tools in their day-to-day development, whether its for coding, debugging, testing, or learning new technologies. -
Passion for problem-solving:
Enthusiastic individuals ready to solve real-world pain points for data teams immediately.
Technical proficiency (Great to have not all required!):
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Experience building POCs and prototypes with LLMs using frameworks like LangChain, LangGraph, or direct API integration.
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Understanding of RAG architectures.
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Familiarity with prompt engineering, few-shot learning, and chain-of-thought techniques.
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Experience with AI agent frameworks and tool-calling patterns.
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Knowledge of Model Context Protocol (MCP) and building AI-powered development tools.
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Ability to read and implement ideas from AI research papers.
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Python proficiency and experience with rapid prototyping tools.
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Understanding of LLM observability, monitoring, and evaluation frameworks.
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Experimental mindset:
You love trying new things, building quick prototypes, and arent afraid to explore uncharted territory. You can quickly evaluate if an approach is promising or a dead end. -
Teamwork and leadership:
Excellent teamwork and demonstrated leadership abilities are essential as our teams thrive on collaboration. -
Public contributions:
Showcase your coding abilities through contributions to public projects, evidenced by an active GitHub profile. -
Analytical thinking:
Exceptional problem-solving and analytical skills. -
Intellectual curiosity:
A collaborative spirit, openness to new challenges, and a willingness to take ownership of projects. -
Attention to detail:
A keen eye for detail to ensure accuracy and quality in your work. -
Communication skills:
Strong communication and presentation skills. -
Self-motivation:
Results-oriented and self-driven individuals. -
Cross-functional interaction:
Ability to interact effectively with cross-functional teams.
Program Details
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Onboarding Week (In-Person): Week of January
5, 2026 (or before). Location: Delhi or Bangalore (to be confirmed closer to the date). -
Covered Expenses: Atlan will cover your stay and travel expenses for the onboarding week.
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Internship Duration: 6 months (paid, full-time).
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Work Mode: Fully remote after the onboarding week work from anywhere
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Future Opportunities: Potential to transition into a full-time role at Atlan.
