
AI Innovation Engineer
5 days ago
Our vision is to revolutionize the field of artificial intelligence by empowering subject matter experts to automate complex, high-value work.
We're building a future where AI systems make critical decisions with trust. As an AI engineer, you'll develop reliable, self-improving systems that integrate Large Language Models (LLMs) and foundation models for production-ready use cases.
Key Responsibilities:- Data-Driven Product Development: Develop products fully enabled by LLMs, focusing on emerging techniques for integration in high-stakes environments.
- High-Performance Search and Retrieval-Augmented Generation (RAG): Design and optimize data indexing, ranking, and query processing systems for efficient search and RAG.
- Evaluation Frameworks: Create robust frameworks to assess the performance of our agents, RAG systems, and various LLMs, leveraging open-source models and polyglot approaches.
Requirements:
- 1-3 years of experience in Software Engineering or end-to-end Data Science, with strong proficiency in Python and data-oriented algorithms.
- Strong background in AI agents, data systems, or machine learning engineering.
- Experience with modern Python microservices using FastAPI, Ray.IO, Kubernetes orchestration, gRPC, and Google Cloud Pub/Sub event streaming.
- Familiarity with our core technologies: Ray, Postgres, Iceberg, Google Cloud, Docker/Kubernetes/Helm.
- Recent experience in building agents, training and evaluating LLMs, building RAG systems, or working with vector databases.
About Us:
We're a rapidly growing startup with a high-performance engineering culture emphasizing personal accountability, autonomy, learning, and growth. Our design-centric approach underpins market analysis, user research, and scientific thinking. We value intelligence, respectful collaboration, and delivering high-quality code.
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