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Part-time, project-based Python contributor role with an AI and data science solutions platform: design CS problems, evaluate AI outputs for correctness, and validate calculations using Python (NumPy, Pandas, SciPy). Suits CS experts with 2+ years experience and strong written English; pays up to $40/hour.
Together AI is seeking a Senior Software Engineer to build and maintain AI agent systems that automate the operation and diagnosis of their large-scale GPU infrastructure. The role involves developing distributed services, knowledge graphs, and retrieval systems to enable autonomous infrastructure management.
Full-stack developer to lead an AI-powered quality assurance/accreditation SaaS platform for higher education institutions, based in Ajman, UAE. Day to day: build frontend and backend (React/Next.js, Node.js/Python), design databases, APIs and auth, and integrate LLM/RAG features for document analysis, dashboards and report generation.
A customer-facing pre-sales Solutions Architect at Together AI (an AI-native cloud for open-source model inference, fine-tuning, and training) based in London. Day to day, they advise strategic customers, run demos and POCs of the hardware/software stack, and build prototypes and enablement content using Python, JavaScript, Kubernetes, Docker, and LLM/GPU technologies.
Lead the SRE team in Amsterdam to manage production systems and infrastructure using Ansible, Terraform, and Kubernetes, ensuring reliability for an AI infrastructure company.
Senior Software Engineer building and improving Swayable's AI/ML-powered analytics engine that measures public opinion and message/ad impact. Day-to-day work blends scientific Python development, machine learning, and distributed high-performance computing alongside Vue.js/Node, MongoDB, and GraphQL services.
Build and deploy AI models that decode brain signals into control signals for medical devices, using transformers and time-series data to restore autonomy for people with disabilities.
Build and fine-tune small, low-latency language and context models for brain-computer interfaces that restore autonomy to people with disabilities.
Define Echo Neurotechnologies’ brand and visual identity, crafting cohesive designs for medical devices and software, including motion graphics and data visualizations.
Build and scale ML infrastructure for brain-computer interface research, including distributed training pipelines, data platforms, and cloud infrastructure to support neuroscientific modeling and neural decoding.
Principal engineer leading AI frameworks, compilers, and runtimes to optimize model performance and reliability at cloud scale, collaborating across teams to improve deployment velocity and hardware efficiency.
Build infrastructure-as-software systems that provision, manage, and self-heal GPU inference clusters at Together AI, using Go/Python/Rust, workflow orchestration (Temporal/Cadence), event-driven architecture (Kafka/NATS), and Kubernetes-style reconciliation loops.
Software engineer (junior to staff) building the Kubernetes-native control plane that provisions and runs Together AI's GPU inference fleet, remote within India: manifest-driven self-service APIs, controllers and reconciliation loops, self-healing automation, and GPU scheduling/bin-packing. Core stack: Go/Python/Rust, Kubernetes, Temporal, event-driven systems.
Build and maintain the AI infrastructure platform for a cutting-edge AI research company, using Kubernetes, Terraform, and Ansible to ensure high availability and scalability.
Builds large-scale distributed systems powering AI-driven communications and collaboration features for Microsoft Teams and Copilot, using cloud-scale services and real-time data.
Build and automate GPU fleets for AI training and inference, designing systems that provision, monitor, and repair thousands of accelerators autonomously.
Backend Engineer builds and scales APIs, infrastructure, billing, and security for Lightning AI’s AI/ML platform using Go, cloud services, and Kubernetes.
Research Engineer at Lightning AI to optimize AI training and inference workloads on PyTorch Lightning infrastructure, improving performance and scalability for production systems.
Own the product vision and roadmap for AI experimentation and post-training tooling, defining workflows for model evaluation, fine-tuning, and deployment while collaborating with engineers and customers to build a cohesive developer experience.
Build and maintain data pipelines and warehouses for an AI platform company, ensuring clean, reliable data for product, ML, and ops teams using modern ETL tools and SQL.
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