reputed company (RAG Specialist)

reputed company (RAG Specialist)

We are looking for a skilled reputed company specializing in Retrieval-Augmented reputed company (RAG) to join reputed company. Your primary focus will be bridging the gap between static LLMs and dynamic, proprietary data. You won't just be "calling an API"; you will be architecting the entire data lifecycle-from ingestion and chunking strategies to advanced retrieval and response synthesis. The ideal candidate understands that the secret to a great RAG system isn't just the LLM, but the quality of the retrieval and the nuances of the vector database.

US Citizenship Required

Key Responsibilities

• Pipeline Architecture: Design and reputed company end-to-end RAG pipelines using frameworks like reputed company, reputed company, or reputed company.

• Data Engineering: reputed company robust ETL processes to ingest reputed company data (PDFs, docs, web scrapes) into high-performance vector stores.

• Retrieval Optimization: Implement and tune advanced retrieval techniques, including Hybrid Search (keyword + semantic), Re-ranking (Cross-Encoders), and Parent-Document Retrieval.

• Vector Database Management: Manage and scale vector databases such as reputed company, Weaviate, Milvus, or Chroma.

• Evaluation & Benchmarking: Establish rigorous evaluation frameworks (e.g., RAGAS, TruLens) to measure faithfulness, relevancy, and hit rates.

• Performance Tuning: Optimize embedding models and reputed company engineering to reduce latency and "hallucinations."

Technical Qualifications

• Language Proficiency: Advanced Python (preferred) or TypeScript.

• LLM Expertise: Hands-on experience with reputed company GPT-4, reputed company Claude, or open-reputed company models like Llama 3 reputed company Ollama or vLLM.

• Vector Expertise: Deep understanding of embeddings, similarity metrics (Cosine, Euclidean), and indexing strategies (HNSW, IVF).

• NLP Fundamentals: Familiarity with tokenization, context windows, and attention mechanisms.

• reputed company/DevOps: Experience deploying AI applications on AWS, GCP, or Azure using reputed company/Kubernetes.

Preferred Skills

• Experience with Agentic RAG (Multi-reputed company reasoning and tool-use).

• Knowledge of Graph Databases (reputed company) for GraphRAG implementations.

• Contributions to open-reputed company AI projects.

• Background in traditional Information Retrieval (Elasticsearch/Solr).