AI Engineer

About the Team:

We are building the next generation of AI Agentic capabilities for one of our core enterprise products, evolving it from a productivity tool into an intelligent assistant that can understand context, take actions, and get work done autonomously on behalf of our users.

You will work hand-in-hand with our Product Manager to conceive, prototype, and ship new AI Agent products, joining a small, fast-moving team where engineering, product, and design work in tight iteration loops.

Job Description:

Design, build, and iterate on AI Agent capabilities (e.g. agent orchestration, tool/function calling, retrieval-augmented generation, multi-step workflow automation) for a core enterprise product.
Work closely with the Product Manager to translate product requirements into technical designs, quick prototypes, and production-ready features.
Develop and integrate LLM-powered features (copilot, smart search, summarization, agentic workflows) into our core enterprise product, transforming how users search, collaborate, and get work done.
Build evaluation pipelines and instrumentation to continuously measure and improve agent accuracy, latency, and reliability in production.
Rapidly prototype new ideas, run experiments, and iterate based on user feedback and product metrics.
Partner with backend/infra teams to ensure AI features are scalable, secure, and ready for enterprise use.

Requirements:

Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
Solid programming fundamentals (Python and/or Java/Go) and understanding of software engineering best practices.
Foundational knowledge of machine learning / deep learning, and familiarity with LLM concepts (prompting, embeddings, RAG, agents, tool calling).
Fast learner with a strong self-driven mindset; comfortable picking up new frameworks and technologies (e.g. LangChain, LlamaIndex, vector databases) independently.
Strong sense of ownership and ability to work in a fast-paced, ambiguous environment.
Good communication skills, able to work closely with product managers and designers to turn ideas into working prototypes.
Prior internship/project experience building AI/LLM-powered applications or products is a strong plus.

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