Related skills
postgresql python tensorflow pytorch elasticsearch📋 Description
- Design and implement RAG systems with agentic workflows.
- Build retrieval pipelines with BM25, dense, hybrid, and re-ranking.
- Develop evaluation pipelines for retrieval and generation.
- Experiment with query rewriting and expansion.
- Collaborate with Product to productionize ML search agents.
- Profile and optimize latency, accuracy, and scalability.
🎯 Requirements
- Software engineering experience
- Information retrieval, search relevance, ranking models
- Python with PyTorch/TensorFlow/JAX
- LLMs, prompt engineering, and RAG pipelines
- Vector DBs (FAISS, Milvus, Weaviate, Pinecone) and Elasticsearch/OpenSearch
- Data pipelines, preprocessing, and cloud infra (AWS/GCP/Azure) with CI/CD
🎁 Benefits
- High performance culture with career development and reviews
- Comprehensive benefits: extended health & dental from Day 1
- Employee Stock Option Plan
- Take The Time You Need vacation policy
- Mac/PC provided and top-tier tooling
- AI First culture encouraging AI-driven work
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