11 of 11 Remote Permanent Pinecone Jobs

directly in AI/ML development Core AI/ML Competencies: Expertise with large language models (LLMs), retrieval-augmented generation (RAG), and embedding models Experience with vector databases (e.g., Pinecone, Quadrant, Chroma) and indexing & similarity search (e.g., FAISS, HNSW, ScaNN, Annoy) Proficiency in hybrid search methods (semantic + keyword search, e.g., BM25 + ANN) and metadata filtering/hybrid retrieval More ❯

within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and infrastructure as code (Terraform, Docker). More ❯

within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and infrastructure as code (Terraform, Docker). More ❯

within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and infrastructure as code (Terraform, Docker). More ❯

within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and infrastructure as code (Terraform, Docker). More ❯

within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and infrastructure as code (Terraform, Docker). More ❯

with relevant technologies such as OpenAI, LangChain/LangGraph, LlamaIndex Experience with Hugging Face and LoRA/QLoRA for fine-tuning Experience with RAG & Vector DBs eg. FAISS, Weaviate, Pinecone Any experience of MLOps with MLFlow, AWS (SageMaker), CI/CD (GitHub Actions) or similar would be a benefit to an application The employer is well known not only for More ❯

experience building retrieval-augmented AI search solutions. LLM Fine-Tuning: Experience fine-tuning models for domain-specific performance and optimizing inference speed. Vector Search: Knowledge of DataStax Vector Search, Pinecone, FAISS, or Weaviate. Deployment: Familiarity with Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Jenkins, or similar). Security & Authentication: Strong understanding of OAuth2, JWT, and API security best More ❯

Architect and implement LLM-powered workflows using OpenAI, Anthropic, and other APIs (e.g. summarisation, analysis, benchmarking). Develop retrieval-augmented generation (RAG) pipelines connecting structured/unstructured data (Supabase, Pinecone, Chroma). Design and maintain evaluation systems — to assess LLM output quality, bias, and reliability. Build a reinforcement learning feedback loop , where user interactions and outcome data improve future model More ❯

from senior ML engineers, AI researchers, and founders. Freedom to experiment with state-of-the-art models, tools, and frameworks. Modern tech stack (Python, LangChain, Hugging Face, OpenAI API, Pinecone, Kubernetes, etc.). Flexible working — remote-first culture with in-person team sessions for collaboration. Career acceleration — opportunities to own projects, lead development, and shape the product roadmap. An environment … Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search, API Development, AI Deployment, Model Serving, AI Automation, Early Stage Startup, AI Startups, Tech Startup, Machine Intelligence, Applied AI, AI Applications, AI Innovation, AI Product Development, AI More ❯

Software Engineer – FilmTech Location: Remote (must have Right To Work in The UK) Hours: 10-15 hrs per week minimum commitment Holidays: Unlimited Comp: Equity during the volunteering phase and then competitive salary + benefits after investment Ready to build More ❯