Trading Analytics Developer Jobs

GAQ226R75 About the Role We are looking for a Senior Full Stack Developer to design, build, and deploy modern, scalable AI agents and applications that leverage Large Language Models (LLMs). This role requires a strong focus on end-to-end agent development, including building a high-performance React frontend, designing the agentic logic in Python, integrating with backend services, and ensuring production readiness. Key Responsibilities: Design, develop, and deploy AI agents for business-critical workflows, with a focus on LLM orchestration and tooling. Implement complex agentic behaviours using frameworks like LangChain or LangGraph, including ReAct loops for reasoning and action. Design and develop a high-performance React application for the agent's user interface. Collaborate with backend teams to integrate APIs and services, and build tools for agents. Work with middleware (Python/Node.js) to orchestrate agent calls and data flow. Implement comprehensive observability and tracing for agent runs and system performance. Build reusable, scalable UI components. Optimise application performance, responsiveness, and scalability. Participate in architectural discussions and contribute to solution design. Write clean, maintainable, and testable code with proper documentation. Required Skills & Experience 5+ years of experience in full-stack development, with strong expertise in Python and React.js . Proven experience in designing, building, and deploying at least 1 production-deployed AI agent or LLM application . Deep expertise in LLM orchestration, prompt engineering, and utilizing tools/plugins to extend agent capabilities. Experience with agent frameworks like LangChain or LangGraph , including implementing reasoning patterns like the ReAct loop . Experience with observability, logging, and tracing for AI agents. Experience building large-scale, enterprise-grade applications. Strong experience with API integration (REST/GraphQL). Experience working in Agile/Sc

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every time Claude runs code, uses a computer, or works as an agent, it does so inside a sandbox. Our Sandboxing team builds the isolation layer behind that work. The same systems run the code Claude writes for users, the environments we train and evaluate models in, and the agents our customers deploy. These workloads are untrusted by design, and there are a lot of them. Sandboxes need to start in milliseconds, hold up under adversarial code, and scale to a very large number of concurrent sessions. You will work at the boundary between the Linux kernel, virtualization, and the container ecosystem. You will partner with research, product, and security teams to make sure that safe and fast do not trade off against each other. Key responsibilities Design, build, and operate the sandboxing infrastructure that runs untrusted, model-generated code and agent workloads at scale Improve sandbox startup time, density, and throughput, including snapshot and restore, checkpointing, and warm pools Strengthen isolation across compute, filesystem, and network, including egress controls and per-session credential handling Investigate and fix performance, reliability, and security issues at the kernel, hypervisor, and container runtime level Build the monitoring, tracing, and debugging tools that show where time and resources go inside a sandbox Work with researchers to support reinforcement learning environments and evaluations that need fast, reproducible, isolated execution Work with product and platform engineers to expose sandboxes as a dependable, well-designed capability for Claude products and customers Partner with security tea

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox’s database team develops the next-generation, multi-tenant database platform that elastically scales and underpins every online data workload at Roblox. As a senior engineer on the database team, you will shape the architecture, build and launch critical database capabilities that keep our services fast, reliable and efficient at global scale. You will report to the Technical Director for Storage. You will: Design and implement new engine features —indexing, storage formats, WAL and replication protocols, sharding, and query-planner enhancements—that push latency, throughput, and availability boundaries. Evolve the control plane to deliver elastic scaling, autonomous healing, and zero-downtime schema or tenant moves across global regions. Profile and optimize critical code paths using kernel-level tracing and advanced performance tooling; drive systematic tail-latency reductions. Establish engineering best practices by leading design reviews, performance benchmarks, failure drills, and post-incident retrospectives. Automate everything : develop frameworks for testing, CI/CD, rollout safety, observability, and autoscaling so that the platform operates hands-off at sc