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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…
Lead a team of AI architects to help cybersecurity vendors integrate Anthropic’s AI models into their products, driving technical pre-sales engagements and ensuring safe, reliable AI adoption.
Anthropic seeks an Applied AI Engineer to advise enterprise customers on deploying Claude AI models, guiding technical architecture, and supporting product development from discovery to deployment, blending engineering expertise with customer-facing collaboration.
Builds and maintains AI safety systems to detect misuse, enforce policies, and prevent harmful outputs across Anthropic's products, using Python, TypeScript, and distributed systems at scale.
This role involves designing and building Python-based automation tools and AI-enabled services to streamline the quantitative model lifecycle for market and credit risk. The developer will work in a cross-functional team to integrate LLMs and data pipelines into production-grade risk technology systems.
QA Lead managing three Quality Engineers while staying hands-on with testing in a pod-based setup, focusing on shift-left quality advocacy, agentic/AI coding agent test quality, and mutation testing.
On behalf of MarketplaceTech Client #2 , SD Solutions is looking for a Software Support Engineer MarketplaceTech Client #2 is looking for a technically strong and creative Software Support Engineer to work directly…
Build and lead Flagship’s cloud security and AppSec practice, embedding security into engineering pipelines and using AI tools to automate routine tasks while collaborating with I&O and portfolio teams.
Build and scale backend services handling millions of requests daily using SQL/NoSQL databases, REST APIs, and async pipelines while leveraging LLMs for productivity and GenAI integrations.
Hybrid AI Cybersecurity Consultant focused on IT strategy consulting and building AI agents for process automation, including prompt engineering, LLM classifiers, and RAG patterns.
Designs, builds, and deploys enterprise-scale AI solutions including GenAI agents, RAG pipelines, and LLM-driven workflows using Azure AI services, while ensuring scalability, security, and Responsible AI compliance.
Senior Full Stack Engineer (backend-leaning) owning end-to-end product development for a YC-backed creator commerce startup, using Python, FastAPI, PostgreSQL, React, TypeScript, and GCP in an AI-native development environment.
The Lead ML/AI Platform Engineer will own the end-to-end machine learning infrastructure, including training, model serving, and integration with Java microservices. The role focuses on driving the company's GenAI and agentic workflow strategy using AWS-based tools and open-source ML frameworks.
As a Senior Backend Engineer, you will build and maintain AI-powered features and microservices using TypeScript and serverless architectures to enhance sales workflows. You will collaborate in an agile team to integrate LLMs and third-party APIs while focusing on scalable, secure, and high-performance system design.
Build and deploy AI-powered voice and digital agents for enterprises using TypeScript/JavaScript, REST APIs, and enterprise AI platforms.
The Full Stack Developer will design and maintain a platform to scale Generative AI capabilities within the organization using Go, Python, and Next.js. The role focuses on building scalable services, APIs, and developer tools while ensuring security and observability.
Desarrolla una plataforma de IA generativa usando Go, Python y Next.js, integrando modelos LLM y asegurando escalabilidad, seguridad y observabilidad para equipos internos.
The Data Scientist will develop machine learning, generative AI, and agentic AI solutions to solve complex business challenges at Manulife. The role involves analyzing large datasets, building AI-enabled models, and collaborating with cross-functional teams to drive strategic decision-making.
This role involves developing scalable, AI-powered full-stack applications using Java, Spring Boot, and modern frontend frameworks like React or Angular. The developer will integrate Generative AI, LLMs, and RAG architectures into enterprise systems while managing microservices and cloud-native deployments.
About Understood Understood is a nonprofit focused on shaping the world for difference. We raise awareness of the challenges and strengths of people who learn and think differently. Our resources help people navigate…
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