16 of 16 Remote pgvector Jobs

EngineTM workflows.Build high-performance APIs and caching strategies enabling low-latency data access for AI agents and orchestration systems.Implement vector-based data retrieval layers (pgVector, Pinecone) and ensure efficient embedding pipelines for AI contexts.Partner with AI teams to monitor data latency, cost efficiency, and observability metrics.Collaboration & GovernancePartner with Platform Operations ...

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 ...

Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins.Database ManagementVector 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.Version ControlProficient in Git and version control platforms ...

Claude, etc.) critically and effectively as part of their day-to-day workflow.Bonus points for:Experience with retrieval-augmented generation (RAG) and vector databases (pgvector, Pinecone, or similar).Experience designing multi-agent systems and agent orchestration patterns.Familiarity with LLM observability tools (LangSmith, Langfuse, Arize, or similar).Experience working with multiple ...

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 ...

development methodologies and version control systems like Git. Exposure to cloud platforms (AWS, Azure, or Google Cloud). Basic awareness of Vector Databases (e.g., pgvector, Pinecone) or RAG (Retrieval-Augmented Generation) concepts. Any foundational Blue Prism certifications. Why You Will Love It Here! Flexibility: Hybrid Work ModelYour Future: Professional Development ...

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 ...

paved road: self-hosted LangSmith and LangGraph Platform as the agent runtime and evaluation plane, model providers behind a swappable gateway seam, PostgreSQL with pgvector plus ClickHouse and S3-compatible object storage as the data platform, Neo4j Enterprise as the semantic knowledge graph, an agent memory plane serving episodic ...

paved road: self-hosted LangSmith and LangGraph Platform as the agent runtime and evaluation plane, model providers behind a swappable gateway seam, PostgreSQL with pgvector plus ClickHouse and S3-compatible object storage as the data platform, Neo4j Enterprise as the semantic knowledge graph, an agent memory plane serving episodic ...

Vacancy detailSenior Machine Learning Engineer75,000 GBPHybrid WORKINGLocation: Central London, Greater London – United Kingdom Type: PermanentSenior Machine Learning EngineerLocation: London (Hybrid)Salary: 75,000 + Bonus + Excellent BenefitsAre you passionate about applying Machine Learning ...

Senior Machine Learning Engineer ££75,000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Senior Machine Learning Engineer Location: London (Hybrid) Salary: £75,000 + Bonus + Excellent Benefits Are you ...

methodologies Experience storing and managing JSON objects within PostgreSQL Strong stakeholder communication and collaborative working skills Desirable Skills Experience with PostgreSQL extensions such as: pgvector PostGIS A pache AGE Additional experience with Oracle and/or MS SQL Server Experience supporting data science or data engineering environments Exposure to secure ...

without:Postgresql dba, core development/maintenance and performance optimisation (sharding, partitions). Experience with clustering, and extensions such as pgvector PostGIS, and AGE very useful.Additional skills in Oracle or MSSQL would also be required. Candidate should have experience in the Latest version of OracleStrong PostgreSQL database management skills:Performance ...

without: Postgresql dba, core development/maintenance and performance optimisation (sharding, partitions). Experience with clustering, and extensions such as pgvector PostGIS, and AGE very useful. Strong PostgreSQL database management skills: Performance optimisation – index tuning, execution plan analysis, query optimisation, data partitioning Backup and recovery – Capable of defining backup strategies ...

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 ...