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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…
6-month contract AI Automation Engineer embedded in Zepz's People team, designing and deploying LLM-powered agents and system-to-system automations across HR tech stack (HRIS, Slack, Google Workspace, Jira).
Builds and maintains Okta’s Privileged Access Management product using modern JavaScript frontends and cloud-native backends, while leveraging AI tools to accelerate secure, enterprise-grade development.
Senior engineer building and scaling Okta’s cloud CI/CD and GitOps platforms on AWS and Kubernetes to securely deliver AI and other workloads.
Staff ML Engineer on Okta's GenAI team, architecting and deploying production ML/GenAI systems including LLM-powered features, RAG workflows, and agentic applications using Python, Claude-based systems, and cloud AI platforms.
Principal/Staff fullstack engineer on Okta's PAM team in Bengaluru, designing and building cloud-native privileged access management features using Go, JavaScript/React, PostgreSQL, and AWS infrastructure.
Senior SRE building and operating secure, scalable cloud infrastructure on AWS (Kubernetes, Terraform, Docker) with observability via Datadog and security/compliance work on a remote user-research SaaS platform.
Builds and deploys GenAI applications (LLM-based assistants, search engines, automation tools) by designing RAG pipelines, integrating cloud AI models, and ensuring scalability, security, and performance for enterprise clients.
Build and scale AI-powered security analytics infrastructure, including data pipelines, ML detection systems, and incident-response tooling for a cutting-edge AI company.
AI Engineer building production LLM systems (agents, evals, tool calling) with Next.js/TypeScript frontends for German Mittelstand clients, working on 2-3 projects in parallel at an AI-first studio.
The Senior AI Engineer will develop and scale productive AI applications, including LLM-based systems, RAG pipelines, and AI agents, to automate core business processes at a real estate investment firm. The role involves working directly with management to identify automation opportunities and implementing robust backend services using Python and Azure.
Frontend Developer building Agentic AI applications using Angular and AI frameworks (OpenAI, Anthropic, Copilot) at £500/day inside IR35, requiring SC Clearance.
Designs and qualifies assembly, integration, and test processes for Anthropic’s data center hardware (servers, racks, accelerators) at contract manufacturers, ensuring yield, cycle time, and cost efficiency while collaborating with engineering and supply chain teams.
The Senior Data & AI Delivery Manager defines and executes continuous improvement strategies for project management, ensuring quality and governance across AI-native consultancy projects. The role involves mapping processes, implementing performance indicators, and guiding teams in agile methodologies.
Senior DevOps Engineer specializing in AI infrastructure at FloQast, owning multi-region AWS Bedrock runtime, sandboxed code execution, Terraform IaC, Grafana observability, and CI/CD pipelines for LLM-backed accounting products (Transform, AI Matching, AutoBuilder).
Senior Full Stack Developer building Elaiia, an AI-powered consumer simulation platform, using TypeScript/Next.js/React on the frontend, Python microservices and PostgreSQL on the backend, with deep LLM API integration (OpenAI, Anthropic, Gemini) via LangGraph, deployed on Vercel and Azure.
Full-stack developer building and maintaining web applications with PHP (Laravel) and React.js, including RESTful APIs, SaaS billing integrations, and LLM API connections, working on-site in an Agile team.
The AI Engineer/Full-Stack Developer will design and build AI-powered applications using LLMs and generative AI technologies. The role requires full-stack development expertise to enhance an innovative product platform.
The Senior Data Scientist will lead and deliver generative AI and LLM projects, managing teams and architecting solutions like RAG systems and agentic AI for clients. The role involves technical leadership, client engagement, and mentoring junior staff within a consulting environment.
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