1 to 25 of 31 Weaviate Jobs

Kubernetes Agile tools: Jira AI/ML Tools & Frameworks: LLM Frameworks: LangChain, LangGraph, LlamaIndex Model APIs: OpenAI, Anthropic Claude, Google Gemini Vector Databases: Pinecone, Weaviate, FAISS, Chroma MLOps & Experimentation: MLflow, Kubeflow, Weights & Biases Data Processing: Pandas, NumPy, Apache Spark Deployment & Serving: TorchServe, TensorFlow Serving, BentoML Prompt Engineering & RAG pipelines (Retrieval ...

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 such ...

/CD pipelines for software or ML systems using tools such as GitHub Actions, Jenkins, or CircleCI. Experience with RAG systems, vector databases (Pinecone, Weaviate, pgvector), and embedding models. Proficiency with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code tools such as Terraform or Pulumi. ...

pipelines for unstructured text data, including scraping, cleaning, deduplication, and transformation for LLM training. Build and maintain vector search solutions (e.g., Pinecone, Milvus, Weaviate, Chroma) to store and retrieve embeddings for RAG systems. Prepare high-quality datasets for fine-tuning adapters (e.g., LoRA) and train LLMs using frameworks like PyTorch ...

Azure Strong understanding of LLM APIs and ecosystems (e.g., OpenAI, Anthropic, AWS) Bedrock, Azure OpenAI Experience with vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS) Ability to design and debug distributed cloud systems and AI-enabled applications. Strong communication skills: able to explain complex topics to A-TEK delivery teams, leadership ...

pipelines hybrid search, re-ranking, query rewriting, context compression, evaluation and grounding. Working with vector stores such as Azure AI Search, Pinecone, Qdrant, Weaviate and Chroma, and tuning embedding models for enterprise data. Building agentic systems using frameworks like LangGraph, Semantic Kernel, LangChain, LlamaIndex and AutoGen tool use, function calling ...

pipelines hybrid search, re-ranking, query rewriting, context compression, evaluation and grounding. Working with vector stores such as Azure AI Search, Pinecone, Qdrant, Weaviate and Chroma, and tuning embedding models for enterprise data. Building agentic systems using frameworks like LangGraph, Semantic Kernel, LangChain, LlamaIndex and AutoGen tool use, function calling ...

Skills Python, TypeScript LLM frameworks (LangChain, LlamaIndex, OpenAI tools, Semantic Kernel) Vector databases (Pinecone, Weaviate, Chroma) Cloud (AWS/Azure/GCP) Docker, Kubernetes CI/CD, observability, testing for AI systems Experience Strong experience building LLM applications, RAG systems, or AI agents Understanding of prompt engineering, tool-calling ...

manage infrastructure across AWS, GCP, or Azure using Docker and modern hosting platforms (Vercel, Netlify) Work with vector databases and data systems (PostgreSQL, Pinecone, Weaviate, FAISS) Collaborate with stakeholders and communicate complex concepts clearly Document solutions and enable clean handoff for internal teams Engagement Brief This consulting engagement is focused ...

LangChain, or LlamaIndex. Background or interest in Civil Engineering, BIM (Building Information Modeling), or CAD software integration. Experience with Vector Databases (e.g., Pinecone, Weaviate, or pgvector). ...

MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain. Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation. Why Prolific is a great platform to join as a Participant Joining our Expert Network will give you the chance to influence ...

MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain. Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation. Why Prolific is a great platform to join as a Participant Joining our Expert Network will give you the chance to influence ...

MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain. Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation. Why Prolific is a great platform to join as a Participant Joining our Expert Network will give you the chance to influence ...

MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain. Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation. Why Prolific is a great platform to join as a Participant Joining our Expert Network will give you the chance to influence ...

MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain. Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation. Why Prolific is a great platform to join as a Participant Joining our Expert Network will give you the chance to influence ...

MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain. Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation. Why Prolific is a great platform to join as a Participant Joining our Expert Network will give you the chance to influence ...

MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain. Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation. Why Prolific is a great platform to join as a Participant Joining our Expert Network will give you the chance to influence ...

MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain. Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation. Why Prolific is a great platform to join as a Participant Joining our Expert Network will give you the chance to influence ...

experience of: Agent Orchestration: LangChain, LangGraph, CrewAI - not just conceptual Agentic Coding Tools: Claude Code CLI, Cursor, OpenAI Codex, Copilot RAG & Vector Stores: Chroma, Weaviate, Pinecone, know where RAG breaks LLM APIs & SDKs: Anthropic, OpenAI, Gemini - prompt design, tool use Python/TypeScript: Primary languages for agent + backend development ...

pilot environments (e.g., using FastAPI, Flask, or Streamlit) Strong understanding of embeddings, prompt chaining, and pipeline orchestration Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) Comfortable with rapid iteration, MVP mindset, and cross-functional collaboration Prior exposure to multilingual or low-resource language challenges is a plus Preferred Qualifications: Experience ...

capabilities across the platform — from content generation to account intelligence and campaign automation. Design and implement RAG pipelines using vector databases like Qdrant or Weaviate for contextual awareness and retrieval. Build robust backend services in TypeScript to serve AI-driven features, including streaming, tool use, and human-in-the-loop ...

NoSQL (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 ...

CrewAI) in production. Strong Python engineering skills with solid testing, optimisation, CI/CD, and code quality; Experience implementing and scaling vector databases (Pinecone, Weaviate, Milvus) for retrieval and reasoning workloads. Deep expertise in cloud‐native AI engineering on AWS, with Azure knowledge and ability to design distributed, fault‐tolerant ...

/APIs. Experience with at least one: LangChain/LangGraph, Llamalndex, Semantic Kernel or equivalent frameworks. Experience with vector databases and search (e.g., Pinecone, Weaviate, Milvus, OpenSearch/Elastic, pgvector) Experience deploying services in cloud environments (AWS/Azure/GCP) with basic DevOps practices Strong understanding of security ...

Tools Backend: .NET/C# (or similar), REST APIs AI/ML: OpenAI, Azure AI, or similar LLM platforms RAG: Vector databases (e.g. Pinecone, Weaviate, or similar) Cloud: Azure, AWS, or GCP Frontend collaboration: any modern JS framework (desirable) DevOps: CI/CD pipelines, containerisation What We’re Looking ...