Ai engineer állás, munka

Design, develop, and maintain components of the deployment stack and software kernels for AI compute platforms Optimize and implement core ML operators (e.g., GEMMs, convolutions, BLAS routines, SIMD kernels) Translate computational graphs from ML frameworks onto the underlying hardware Contribute...

Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power services across our platform. Build automated AI testing and evaluation frameworks. Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities. Shape and...

Design, implement, and maintain automated testing for existing and new features. Support manual testing activities, including functional, regression, and exploratory cross-browser testing. Draw up test scenarios from specifications, maintain a test case library, and update regression test cases as...

Lead the design and evolution of frontend architecture across multiple teams, ensuring consistency, performance, and scalability. Influence and define the frontend technology stack, with a focus on Angular, TypeScript, and modern web standards. Act as a technical consultant to stakeholders,...

Design, code, review and test assigned features and user stories, in accordance with the agile methodology employed by Diligent Collaborate with the product owner and engineering manager in the analysis and documentation of technical requirements and user stories for assigned features Assist with...

Create robust, scalable, and secure microservices that power our SaaS platform for governance Leverage AWS (serverless or migrations) with C#, .Net and Angular Own services end-to-end (code, deployment, monitoring) Drive architecture discussions Regularly demo to the department Shape AI strategy by...

Break down a larger project and help others working on the stories Build test strategy and test plans for complex functionalities Estimate, prioritize, plan and coordinate testing activities Help evolve guidelines and engineering practices of the team Perform manual acceptance testing for user...

Create robust, scalable, and secure microservices that power our SaaS platform for governance Leverage AWS (serverless or migrations) with TypeScript Own services end-to-end (code, deployment, monitoring) Drive architecture discussions Regularly demo to the department Shape AI strategy by leading...

Take ownership of technical challenges, bringing curiosity and resourcefulness to ambiguous problems. Define and drive the development of complex features ensuring scalability, reliability, and security. Strong product partnership: translating business requirements into clear technical plans,...

Design, code, review, and test assigned features and user stories in alignment with Diligent’s agile development methodology, leveraging AI tools where appropriate to enhance development efficiency. Produce high-level technical design artifacts for major stories, incorporating insights and...

Design and implement the frontend from UI mockups to Figma designs, evaluating feasibility, complexity, and implementation impact for optimal user experience. Own and deliver well-defined frontend stories independently, with a strong understanding of architecture, frameworks, and tools. Drive code...

Architect, design, and help implement methods to optimize Diligent's AWS environment and processes Advise product software engineering teams on product and core infrastructure design Develop and deploy infrastructure-as-code using best practices...

Own and deliver well-defined stories independently, with a clear grasp of team architecture, frameworks, and tools. Actively contribute to code reviews, testing practices, and maintain service stability. Support and guide junior engineers (SE-I), fostering collaboration, knowledge sharing, and...

Build and operate the cloud infrastructure and backend services that power the platform Work primarily with Node.js/TypeScript to deliver secure, scalable, and high-performing microservices on AWS Design and maintain infrastructure as code with AWS CDK Manage CI/CD pipelines Own services...