AI Engineering Productivity Expert

Amit érdemes tudni

• Irodai · Ismeretlen
• Nincs elég földrajzi bizonyíték a magyarországi jogosultsághoz.
• Fizetés: nem közölt

Helyszín és jogosultság

Nincs elég földrajzi bizonyíték a magyarországi jogosultsághoz.

Kuala Lumpur, Malaysia

Megbízhatóság: 34%. A végső döntés a munkáltatóé – mindig olvasd el az eredeti hirdetést.

Pozíció

About Us

Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.

Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.

Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.

Core Responsibilities

AI Engineering Productivity Strategy

Define the technical roadmap and implementation strategy for AI for SDLC, aligning AI capabilities with engineering productivity goals.

Analyze the software development lifecycle and identify key bottlenecks affecting productivity, quality, and developer experience.

Design scalable AI-powered engineering solutions and drive their adoption across the organization.

Establish a measurable evaluation framework to assess improvements in development cycle time, delivery quality, and engineering productivity.

Track developments in AI Agents, intelligent coding, and AI-powered software engineering, evaluating their maturity and practical value.

AI for SDLC Solutions

Drive the application of AI across requirements analysis, technical design, coding, code review, testing, release, operations, and incident analysis.

Design and build AI Coding Agents for enterprise software development scenarios.

Integrate Agents with code repositories, knowledge bases, engineering toolchains, CI/CD systems, and observability platforms.

Explore end-to-end AI-assisted workflows covering requirement understanding, code generation, testing, validation, and delivery.

Build capabilities for code understanding, change analysis, intelligent code review, automated test

Rövidített kivonat. A teljes leírás és a jelentkezés a munkáltató oldalán érhető el.