Work with AI/ML systems, prompt engineering, multimodal models, retrieval systems, agent systems, computer vision, and backend services using Go, Python, or C. You will join a small R&D team building a cloud platform that transforms audio and video data into actionable intelligence for commercial clients.

You will work with SQL, Python, DBT, Fivetran, Airflow, Snowflake, Git, and cloud platforms (AWS, Azure, or GCP). The role designs, builds, and maintains scalable data platforms and pipelines that power analytics, reporting, and data-driven decision-making. No team size is stated.

You will architect low-latency inference pipelines for multimodal LLMs, TTS, and Vision models using C/C++, Python, PyTorch or JAX, and optimize them with custom CUDA/Triton kernels, TensorRT, and ONNX. The team at this seed-stage AI-native game studio builds intelligent virtual actors that speak, move, and react in real-time for interactive entertainment.

Work with Python, AWS, and Kubernetes to build and maintain custom integrations, API fixes, and SDKs for a voice AI startup. You will support the Forward Deployed Engineering team, managing one-off integrations, platform fixes, and custom builds for enterprise clients deploying large-scale voice infrastructure.

Build features across a Svelte/TypeScript front end and Python back end using FastAPI, Django, PostgreSQL, and AWS. Tab is a YC-backed London travel fintech processing thousands of real-time payments per hour for over 100,000 global tourism businesses in 100+ currencies.

You will work with Python, post-training language models (RL, distillation), and build data pipelines and inference infrastructure. The company is building a Societal World Model to simulate human opinion and influence, enabling Fortune 500 organizations to test strategies against simulated populations.

Use Python (FastAPI/Django) and Svelte with TypeScript to build and scale a payments platform processing 100 currencies and a discovery engine listing 100,000+ tourism businesses. Work on AWS cloud infrastructure and real-time transaction processing as part of a profitable, lean team of nine.

Work with Python or Node on backend distributed systems and serverless architectures on AWS, with a smart contract language such as Solidity. The company builds services to accept card payments and grow businesses globally. No team scope is specified.

AWS (EC2, Lambda), Terraform/Infrastructure as Code, Kubernetes, Docker, and GitHub Actions CI/CD pipelines. The DevOps Engineer will build and manage cloud infrastructure and deployment workflows for the company's platform. The role does not specify team size or project details.