12 of 12 Remote/Hybrid Permanent pgvector Jobs

translate complex technical concepts into business value Desirable Experience Advanced LLM techniques including agents and autonomous workflows Vector databases such as Pinecone, Weaviate or pgvector Docker, Kubernetes, ECS or containerised deployments Infrastructure as Code tools including Terraform or CloudFormation Large-scale data processing technologies such as Spark or Dask Experience ...

LangGraph, LlamaIndex, and Hugging Face, including agentic and multi‐step workflows. Proven experience designing and implementing Retrieval‐Augmented Generation (RAG) systems, including vector databases (pgvector, Pinecone, Weaviate, FAISS, etc.) and advanced retrieval strategies (hybrid search, re‐ranking, metadata filtering). Strong understanding of prompt engineering, workflow design ...

platforms and scalable pipelines. Excellent knowledge of PostgreSQL (or similar relational databases) and NoSQL databases. Experience with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture ...

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 ...

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 ...

loops: planner/executor/verifier patterns, tool‐use schemas, retry + escalation logic. Build retrieval pipelines: chunking strategy, vector DB choice (Pinecone/pgvector/Weaviate), reranking, freshness handling. Stay current on Anthropic + OpenAI release notes; adjust prompts + schemas when APIs evolve. We treat the foundation‐model ...

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 ...

tracking for token usage across multiple LLM providers (Anthropic, OpenAI, open-source models via vLLM) Own database performance for both relational (Postgres) and vector (pgvector/Pinecone) workloads Collaborate with ML engineers on model-serving infrastructure and prompt-caching strategies Drive API versioning and backwards compatibility as the product iterates … quickly Core Tech Stack: Languages: Python (FastAPI), Go, TypeScript (Node.js) Databases: PostgreSQL, Redis, Pinecone/pgvector Infra: AWS (ECS, Lambda, SQS/SNS), Docker, Kubernetes, Terraform AI/ML tooling: LangChain/LlamaIndex, vLLM, Anthropic & OpenAI APIs, embedding models Observability: Datadog, Grafana, OpenTelemetry CI/CD: GitHub Actions, ArgoCD Requirements ...