AI/ML Engineer
deploying solutions on any major cloud platform (AWS, Azure, GCP). Familiarity with vector databases, embedding models...
deploying solutions on any major cloud platform (AWS, Azure, GCP). Familiarity with vector databases, embedding models...
(RAG, embeddings, prompt engineering) Skill 2 AWS Cloud (OpenSearch, Neptune, DynamoDB, ElastiCache/Redis) Skill 3 Vector... Search & Retrieval Systems (OpenSearch / vector DB) Skill 4 Graph Databases (Amazon Neptune, knowledge graphs) Skill 5 LLM...
using vector databases Integrate AI services with enterprise systems, APIs, and data platforms Develop backend services... AI Experience with RAG pipelines and vector databases (Pinecone, FAISS, Weaviate) Experience building and consuming REST APIs...
. Wire OpenSearch indexing, tenant-scoped routing and vector search for RAG retrieval. Implement CI/CD via the existing..., retrieval, citation Vector databases Cloud platform experience - AWS, specifically: Elastic Beanstalk (Compass deploy target...
Frameworks: LangChain, LlamaIndex, DSPy LLM APIs: Gemini, Bedrock, Vertex AI, Claude Vector DBs: Pinecone, Weaviate (Can...
with vector databases, embeddings, Retrieval-Augmented Generation (RAG), and semantic search architectures. Experience working...
, versioning) Hands-on experience with: o LLM frameworks: LangChain, LlamaIndex, Semantic Kernel o Vector databases: Pinecone...
Web Services, Microsoft Azure, or Google Cloud. Experience with MLOps and deployment tools. Knowledge of vector databases...
, versioning) Hands-on experience with: o LLM frameworks: LangChain, LlamaIndex, Semantic Kernel o Vector databases: Pinecone...
platform (AWS, Azure, GCP). Familiarity with vector databases, embedding models, and retrieval pipelines. Strong problem...