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2 days ago
Imagine a world where artificial intelligence is the driving force behind innovation and progress. As an AI Engineer, you will play a pivotal role in shaping this reality by developing cutting-edge software that harnesses the power of machine learning to enhance creativity and productivity.
Key Responsibilities- Design and build AI-powered products that integrate seamlessly with Large Language Models (LLMs) and other revolutionary foundation models.
- Craft high-performance Search and Retrieval Augmented Generation (RAG): Data indexing, ranking, query processing systems.
- Develop evaluation frameworks for agent, RAG, and LLM performance: We take a polyglot approach to working with LLMs, with a strong preference for getting workloads running on open-source models.
- 2-5 years of experience in Software Engineering or end-to-end Data Science; proficiency in Python and data-oriented algorithms is essential.
- A strong background in either distributed data systems or machine learning engineering; experience with distributed computing frameworks like Ray is highly valued.
- Proven ability to experiment with new techniques and deliver robust production code. We primarily work in Python, with both LlamaIndex and LangChain code in our emerging RAG stack. Other technologies include Ray, Postgres, Iceberg, Google Cloud, Docker/Kubernetes/Helm.
- Demonstrated experience in (and enthusiasm for) building agents, training and evaluating emerging foundation LLMs, building RAG systems, and planet-scale information retrieval systems, or working with vector databases. We encourage you to share your projects with us.
We are a pre-seed startup with a compact, high-performance engineering culture that emphasizes personal accountability, autonomy, learning, and growth. Led by experienced founders, our approach is design-centric, underpinned by market analysis, user research, and a dedication to scientific thinking and automation. We value intelligence, respectful collaboration, and shipping quality code.
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