Expert AI Engineer
Lead the design, development, and deployment of advanced AI systems and scalable LLM-driven applications. Act as a technical authority for clients while mentoring peers and supporting presales activities.
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Lead the design, development, and deployment of advanced AI systems and scalable LLM-driven applications. Act as a technical authority for clients while mentoring peers and supporting presales activities.
Design and deploy scalable backend software systems to optimize renewable energy and battery storage operations. Collaborate with cross-functional teams to integrate machine learning models and maintain the full software development lifecycle.
Design, build, and maintain scalable software solutions while collaborating with cross-functional teams to optimize platform performance. The role involves architecting high-quality code and leveraging AI-assisted tools to accelerate delivery cycles.
The Lead Performance Test Engineer is responsible for designing and automating performance tests for microservices and front-end applications. This includes monitoring system metrics, troubleshooting bottlenecks, and integrating tests into the CI/CD pipeline.
Develop and maintain CI/CD pipelines to drive automation and efficiency within an international agile team. Take operational responsibility for core gateways and production environments, including 24x7 on-call duties.
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Design, build, and launch scalable data pipelines to integrate customer datasets and financial data. Monitor pipeline reliability and translate business requirements into analytical insights to create business value.
Improve deployment reliability and modernize AWS infrastructure toward Kubernetes while reducing operational risk. The role involves managing the full SDLC, practicing SRE, and ensuring security and compliance standards like SOC2 and PCI.
Build and maintain responsive web applications using React and develop high-performance backend services and data pipelines with Python. Implement CI/CD pipelines and rigorous unit tests to ensure system reliability and performance.
Lead the design and development of high-performance, scalable backend services and distributed systems using Go. Collaborate with cross-functional teams to optimize system performance and mentor junior engineers through architectural guidance.
Develop new features and contribute to product development for DBeaver products. Utilize microservices and cloud infrastructure on AWS and GCP to maintain a modern technology stack.
Develop new features for the CloudBeaver product using a modern technology stack. Utilize microservices and cloud infrastructure on AWS and GCP for backend development.
Design and build scalable backend services and high-volume data processing solutions for fraud detection using TypeScript. Collaborate with cross-functional teams to own the product lifecycle from ideation and architecture to deployment and maintenance.
Design and implement highly scalable backend endpoints and lead the full software development lifecycle from requirements to maintenance. Mentor team members on best practices and collaborate cross-functionally to solve complex technical problems.
The role involves architecting and building secure, scalable backend services and APIs on AWS within a TypeScript ecosystem. Key duties include driving technical decisions, mentoring team members, and optimizing platform performance and security.
Architect and build complex, scalable front-end applications using Angular and TypeScript. Provide technical leadership and mentor other developers while working across the full stack.
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Develop fullstack applications using JavaScript and TypeScript across both frontend and backend. Mentor other developers and transition into a technical leadership role within the team.
Lead the design and development of scalable Java-based Warehouse Management System (WMS) solutions and microservices. Manage high-performing development teams to modernize legacy systems and integrate WMS with ERP, TMS, and OMS platforms.
Design and build scalable Data and AI platform capabilities to support analytics, data science, and Generative AI workflows. Develop reusable frameworks and standardize data pipelines while ensuring security, reliability, and operational excellence.
Design, build, and maintain high-quality web applications and APIs for radio and streaming platforms using React and Node.js. Collaborate with architects to translate business requirements into technical designs and manage CI/CD pipelines for reliable releases.
Design and build AI agents on a LangGraph runtime, focusing on prompt engineering and the development of rigorous evaluation datasets. Implement applied machine learning models and RAG pipelines to improve agent intelligence and data-driven decision-making.
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