
Intelligent System Developer
13 hours ago
Key Responsibilities
- Develop products that leverage large language models and foundation models, integrating emerging techniques into production systems.
- Build high-performance search and retrieval-augmented generation systems for efficient search and generation tasks.
- Design robust frameworks to assess the performance of agents, RAG systems, and LLMs, focusing on polyglot approaches and open-source models.
- 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, FastAPI, Ray.IO, Kubernetes orchestration, gRPC, and Google Cloud Pub/Sub event streaming.
- Familiarity with AI agent stacks, vector databases, and distributed AI workloads.
- Recent experience in building agents, training LLMs, or working with RAG systems is a plus.
A rapidly growing startup with a high-performance engineering culture emphasizes personal accountability, autonomy, learning, and growth. Our approach is design-centric, underpinned by market analysis, user research, and dedication to scientific thinking and automation.
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