10 of 10 Remote/Hybrid Permanent Pinecone Jobs

with Hugging Face and popular LLM training & fine-tuning techniques (LoRA, PEFT, etc.) Experience with Vector/Semantic search, RAG pipelines, or embedding optimization (Pinecone, FAISS, Redis Vector) Familiarity with agent-based frameworks (LangGraph, ReAct, AutoGen, CrewAI, LangChain Agents, etc.). Experience with LLMOps tooling and frameworks (Weights & Biases, MLflow ...

strategies, tuning methods, and reusable templates. Data Engineering: Handle large-scale unstructured data and integrate AI with enterprise applications via APIs and Vector Databases (Pinecone, PG Vector, Neo4j). Production & MLOps: Establish CI/CD pipelines and manage model deployment using Kubernetes/OpenShift and MLOps principles. Technical Requirements Core ...

cross-functional teams within a fast-paced environment Nice to Have Experience within financial services or other regulated industries Exposure to vector databases (e.g. Pinecone, Weaviate, FAISS) Experience with MLOps/LLMOps and deploying models into production Familiarity with LLM fine-tuning, evaluation, or guardrailing techniques Experience building internal tools ...

workflows Designing and maintaining backend services and APIs (primarily Python, FastAPI/Flask) Building and scaling data pipelines and search systems using: ElasticSearch, Weaviate, Pinecone, and other vector databases Engineering secure, containerised architectures using Docker and Kubernetes Ensuring high availability, fault tolerance, and performance for mission-critical workloads Providing technical ...

MongoDB/DynamoDB) Experience with CI/CD, microservices, TDD/BDD. Knowledge of secure system design. Desirable (AI & Data) Vector DBs: Milvus, Weaviate, Pinecone Data orchestration: Airflow, Prefect, Dagster Search: ElasticSearch/OpenSearch AI frameworks: LangChain, Hugging Face MLOps: MLflow, Kubeflow If you are looking for an opportunity ...

MongoDB/DynamoDB) Experience with CI/CD, microservices, TDD/BDD. Knowledge of secure system design. Desirable (AI & Data) Vector DBs: Milvus, Weaviate, Pinecone Data orchestration: Airflow, Prefect, Dagster Search: ElasticSearch/OpenSearch AI frameworks: LangChain, Hugging Face MLOps: MLflow, Kubeflow If you are looking for an opportunity ...

execute multi-step tasks. The Data Architect: Proficiency in Vector Databases is essential. You should be comfortable designing data persistence layers using PG Vector, Pinecone, Milvus, or Mongo Atlas to handle large amounts of unstructured data. The MLOps Engineer: You don't just write code; you ship it. Our client ...

execute multi-step tasks. The Data Architect: Proficiency in Vector Databases is essential. You should be comfortable designing data persistence layers using PG Vector, Pinecone, Milvus, or Mongo Atlas to handle large amounts of unstructured data. The MLOps Engineer: You don't just write code; you ship it. Our client ...

field Excellent communication in English, primary language across the business Nice to Have Experience with evaluation frameworks and benchmarking Familiarity with vector databases (e.g. Pinecone, Chroma) Experience with monitoring and observability tools Frontend experience (JavaScript/TypeScript) Experience optimizing systems for latency and cost Exposure to business metrics ...

We're representing at role at a global enterprise at the forefront of AI-driven transformation, building scalable, production-grade intelligent systems that power real-world business outcomes. The teams operate at the intersection of ...