AI Analyst
with Retrieval-Augmented Generation (RAG) architectures. Familiarity with vector databases such as Pinecone, Weaviate, Chroma...
with Retrieval-Augmented Generation (RAG) architectures. Familiarity with vector databases such as Pinecone, Weaviate, Chroma...
, embeddings, vector DBs, LLM orchestration, and prompting techniques. Hands-on expertise in AWS (Lambda, API Gateway, Bedrock, S3...
AI, Lang Graph, MCP Vector DBs (Pinecone, Chroma DB, Weaviate) RAGAS, DeepEval Python/JS, Docker, Kubernetes, GitHub Actions...
to GenAI / LLM enabled systems Experience with RAG pipelines and vector search concepts Familiarity with computer vision...
pipelines across large unstructured datasets Hands on experience with: o Embedding strategies o Vector databases and semantic...
-Augmented Generation) Vector Databases Embeddings Prompt Engineering Python APIs Microservices Distributed Systems Azure...
, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), and databases (SQL, NoSQL, vector databases, ETL) Experience...
, Gold layers) for robust data ingestion from third-party REST APIs. AI & Vector Databases: Architect RAG (Retrieval...-Augmented Generation) pipelines. Deploy, populate, and maintain vector databases to feed contextual data to LLMs. Model...
such as embeddings, chunking, semantic retrieval, vector search, top-k, top-p, and related controls that influence response behavior...
Engineering experience Strong Python development skills Hands-on experience with RAG architectures, vector databases, embeddings...