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Senior full-stack engineer building end-to-end features on a grant-funding SaaS platform (AntragPlus), working across TypeScript/Node.js, Next.js, Postgres, AWS infrastructure, and production AI pipelines using LLM providers like AWS Bedrock, Anthropic, and OpenAI.
Senior Backend Developer joining the founding team of a Generative AI hub in Valencia, building an Agentic AI platform on Azure using Node.js or .NET 8 with vector search, LLM pipelines, and multi-layer storage.
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market…
Own the AI inference platform from discovery to launch, defining APIs, metrics, and benchmarks while aligning engineering, commercial, and leadership teams.
The Lead Software Engineer will design and implement cloud-based applications while integrating AI/ML models and Generative AI technologies. The role involves leading engineering communities, optimizing system performance, and utilizing Java, Python, or Node.js within AWS environments.
Senior Data Scientist in Westpac's centralised DDAI team, designing and deploying production-grade ML and Generative AI solutions end-to-end using Python, deep learning frameworks, and cloud platforms.
Build AI-powered systems that turn operational data into trusted insights for manufacturing and avionics, using LLMs, RAG, and MLOps pipelines in a secure, Agile environment.
Build and maintain enterprise-grade NextJS applications, working in a fully remote team that values testing, code reviews, and open-source principles.
Full-stack developer building enterprise-grade apps with Python and Next.js, working remotely from Brazil for a US-based AWS consulting partner.
Metal Toad is a strategic AI partner. We help our customers to use AI to build the engines of their future growth, aligning AI’s capabilities with their most important business opportunities. We are an AWS, Anthropic,…
Maintains AWS-based cloud infrastructure for enterprise clients, focusing on high-availability systems, automation, and 24/7 support with Linux, scripting, and networking expertise.
Metal Toad is seeking a DevOps/Cloud Engineer to design, maintain, and monitor scalable infrastructure for enterprise-grade applications. The role requires extensive AWS experience and strong scripting skills to support AI-focused projects in a fully remote environment.
The Data Infrastructure Engineer will architect and deploy open-source data platforms like Trino, Spark, and Pinot on Amazon EKS. This hands-on role involves managing infrastructure as code to deliver high-performance, scalable data solutions for complex customer environments.
Senior Associate .NET Developer on PwC's Advisory team in Bengaluru, building cloud-native applications using .NET 8, Azure PaaS services (Functions, SQL Database, Logic Apps, Service Bus, OpenAI), Angular/React, and microservices deployed via Azure DevOps and AKS.
Design, build, deploy, and optimize AI-powered applications (agents, assistants, automations) across a healthcare technology company using Python, LLM platforms like OpenAI/Anthropic, RAG, and cloud infrastructure.
Build scalable full-stack Python applications and AI-enabled services using FastAPI/Flask/Django, React, and cloud-native DevOps tooling.
TIQ Solutions is seeking an AI Engineer to develop production-grade AI agents, RAG applications, and machine learning models for enterprise clients. The role involves building backends and integration services using Python, FastAPI, and various LLM frameworks.
Senior Software Engineer II at LexisNexis Risk Solutions in Mumbai, building and maintaining software for AML, fraud, and identity verification products using Python, LLM/RAG pipelines, SQL Server, and AWS.
Designs and deploys agentic AI systems for medical imaging, combining LLMs, RAG, knowledge graphs, and tool orchestration to solve complex healthcare workflows.
AI Software Engineer building production AI-enabled applications, integrating LLMs (OpenAI, Anthropic) into enterprise software using Python, C#/.NET, and Azure/AWS cloud infrastructure.
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