Role Overview
We are looking for a Product Engineer to build user-facing products that combine AI capabilities with practical applications. You will work at the intersection of software engineering and AI, developing autonomous, agent-driven systems that solve complex educational and research problems.
Responsibilities
- Product Development: Design, build, and deploy production-ready applications powered by LLMs and AI agents.
- Data Engineering: Build scalable ETL/ELT pipelines to process structured and unstructured data, including text and audio, for RAG and model fine-tuning.
- Agentic Workflows: Develop multi-step AI agents with tool calling, APIs, databases, search, reasoning, and memory.
- Rapid Prototyping: Turn ideas and research concepts into interactive, production-ready applications.
- AI Integration: Use frameworks such as LangChain, LlamaIndex, AutoGen, or custom orchestrators to integrate AI into scalable systems.
- User Experience: Transform raw AI outputs into reliable, intuitive, and responsive user experiences.
- Collaboration: Work closely with ML researchers and data engineers to integrate custom and fine-tuned models.
- Observability: Monitor agent behavior, manage edge cases, reduce hallucinations, and improve reliability in production.
Requirements
- Strong software engineering, AI/LLM expertise, data engineering, and product thinking.
- Ability to take an AI concept from prototype to production.
Skills
- Python
- LangChain
- LLMs
- RAG
- LlamaIndex