16 of 16 pgvector Jobs

Cloud platforms – AWS, Azure, or GCP Preferred Agentic framework experience – LangChain, LangGraph, AutoGen, or similar RAG pipeline design and vector database experience (Pinecone, Weaviate, pgvector) Agile/SDLC tooling – Jira, Git, CI/CD pipelines #J-18808-Ljbffr ...

Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version ...

Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version ...

Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems. Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases. Preferred Qualifications (Bonus Points): Proficiency in additional programming languages such as Java, JavaScript/TypeScript, or Golang. Experience with specific frameworks like Spring ...

graph‐augmented retrieval for grounded generation); Semantic layer and business intelligence platforms (Looker, dbt Semantic Layer, AtScale); Vector databases and hybrid retrieval (Qdrant, Pinecone, pgvector, AlloyDB vector search); Cloud data platforms at scale (BigQuery, Snowflake, Databricks, Spanner); Data cataloging and governance (Google Knowledge Catalog/Dataplex, Collibra, Alation, Atlan ...

graph-augmented retrieval for grounded generation)– Semantic layer and business intelligence platforms (Looker, dbt Semantic Layer, AtScale)– Vector databases and hybrid retrieval (Qdrant, Pinecone, pgvector, AlloyDB vector search)– Cloud data platforms at scale (BigQuery, Snowflake, Databricks, Spanner)– Data cataloging and governance (Google Knowledge Catalog/Dataplex, Collibra, Alation, Atlan ...

practices. Experience and Skills (Nice to have) Previous experience building a user‐facing GenAI/LLM software application Previous experience with vectors and embeddings (pgvector, chromadb) Knowledge of LLM RAG/Agent core concepts and fundamentals Experience with Neo4J, GraphQL for efficient data querying for APIs, CI/CD tools ...

practices. Experience and Skills (Nice to have) Previous experience building a user-facing GenAI/LLM software application Previous experience with vectors and embeddings (pgvector, chromadb) Knowledge of LLM RAG/Agent core concepts and fundamentals Experience with Neo4J, GraphQL for efficient data querying for APIs, CI/CD tools ...

systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent ...

systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent ...

systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent ...

systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent ...

systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent ...

observability, and designing for data sensitivity from the outset You'll also need practical exposure to the broader engineering landscape, including areas such as: - pgvector - LiteLLM for model routing - AWS Textract for OCR - Docker and infrastructure-as-code - Conversational Q&A and document ingestion systems Experience at pre-seed … Technical Lead, Staff Engineer, Principal Engineer, Private Credit, Private Markets, Capital Markets, AI Platform, Analytics Platform, Python, TypeScript, Node.js, React, Next.js, NestJS, FastAPI, PostgreSQL, pgvector, LangChain, LangGraph, LiteLLM, AWS, LLM, Fintech, Greenfield, Remote, Hybrid/Remote, Contract ...

observability, and designing for data sensitivity from the outset You'll also need practical exposure to the broader engineering landscape, including areas such as: - pgvector - LiteLLM for model routing - AWS Textract for OCR - Docker and infrastructure-as-code - Conversational Q&A and document ingestion systems Experience at pre-seed … Technical Lead, Staff Engineer, Principal Engineer, Private Credit, Private Markets, Capital Markets, AI Platform, Analytics Platform, Python, TypeScript, Node.js, React, Next.js, NestJS, FastAPI, PostgreSQL, pgvector, LangChain, LangGraph, LiteLLM, AWS, LLM, Fintech, Greenfield, Remote, Hybrid/Remote, Contract ...

observability, and designing for data sensitivity from the outset You'll also need practical exposure to the broader engineering landscape, including areas such as: - pgvector - LiteLLM for model routing - AWS Textract for OCR - Docker and infrastructure-as-code - Conversational Q&A and document ingestion systems Experience at pre-seed … Technical Lead, Staff Engineer, Principal Engineer, Private Credit, Private Markets, Capital Markets, AI Platform, Analytics Platform, Python, TypeScript, Node.js, React, Next.js, NestJS, FastAPI, PostgreSQL, pgvector, LangChain, LangGraph, LiteLLM, AWS, LLM, Fintech, Greenfield, Remote, Hybrid/Remote, Contract ...