Top Artificial Intelligence Jobs in George Town

Early-career TechOps role: build dashboards/alerts, script repetitive ticket steps, participate in RCAs, log user pain points and propose fixes, create a lightweight agent (e.g., Telegram bot) with reusable skills, optimize incident-management workflows, and write actionable runbooks to improve support-driven user experience.

Lead planning, design, delivery and promotion of a customer-service chatbot management platform. Use AI and big data to improve CS operations (corpus training, SOPs, assistant replies, summaries). Collaborate with engineering, UX, and CS teams. Monitor KPIs and user cases to drive product improvements.

Lead AI-driven growth product strategy to improve acquisition, activation, retention, cross-sell, and churn reduction. Design viral loops and referral programs, use data and user insights to inform features, manage roadmaps, run experiments, and collaborate with marketing, operations, and engineering to optimize user funnels and drive scalable organic growth.

Early-career full-time program offering training, mentorship, and hands-on work within Binance's blockchain ecosystem. Participants develop practical skills in Web3, collaborate across teams, and contribute to product and engineering projects while receiving tailored curriculum and 1:1 mentorship.

Design and build internal AI productivity tools and LLM-powered applications to augment developer workflows. Integrate AI into the software development lifecycle, apply techniques like prompt engineering, RAG, and agents, partner with engineering teams to identify bottlenecks, and continuously evaluate emerging AI technologies to improve internal platforms and engineering efficiency.

Lead and grow a cross-functional engineering team to design, build, and operate scalable, reliable payment and finance products. Drive architecture, code quality, observability, incident response, and delivery velocity while coaching engineers and collaborating with product, design, mobile, backend and AI teams to deliver customer-focused outcomes.

Lead and develop a high-performing engineering team across frontend, backend and mobile. Own delivery, architecture, reliability, observability and incident response. Drive technical standards, coach engineers, improve processes and ship scalable production systems in close collaboration with product, design and AI teams.

Lead and manage a cross-functional engineering team to design, build, and operate scalable, reliable customer-facing systems. Drive architecture, code quality, testing, observability, incident response, and engineering processes while coaching engineers and delivering product outcomes quickly and reliably.

Lead technical design and delivery of scalable, reliable payments systems across backend, frontend, APIs, databases and infrastructure. Hands-on coding, code reviews, architecture decisions, mentoring, production ownership, observability and cross-team collaboration to ship high-quality products.

Lead and manage a cross-functional engineering team to design, build, and operate large-scale frontend, backend and AI-integrated products. Own delivery, architecture, reliability, testing, observability, and post-release production outcomes. Coach and grow engineers, drive technical standards, improve processes and tooling, and partner with product, design, mobile and AI teams to turn ambiguous problems into shipped customer outcomes.

Lead technical design and delivery for an AI-native email product. Hands-on role requiring system architecture, coding, code review, production debugging, reliability, mentoring, cross-functional collaboration, and improving engineering practices and tooling.

The Senior Gen AI Engineer will develop AI applications using advanced technologies in AI/ML, collaborate with teams for integration, and ensure compliance with data governance policies.

Lead delivery and scaling of generative AI data programs across multiple projects: capacity planning, vendor management, quality consistency, process automation, financial control, risk mitigation, client reporting, and team enablement.

Lead and scale portfolios of generative AI data programs (collection, labeling, evaluation). Manage capacity planning, vendor SLAs, quality consistency, process automation, budgets, risk, stakeholder reporting, and coach PMs/coordinators while ensuring data security and compliance.

Six-month early-career internship building LLM-powered agent workflows and production AI components. You'll design prompts, retrieval and tool-use logic, run benchmarks, improve quality/latency/reliability/safety, contribute to backend services/APIs, and ship working prototypes alongside full-time engineers.

Internship role to design and build LLM-powered recommendation and agentic AI systems for financial and Web3 scenarios. Tasks include candidate generation, ranking, tool routing, post-training (SFT/RL), datasets and evaluation pipelines, prototyping agent workflows, and integrating prototypes into production with cross-functional teams.

Work in the CEO Office to translate CEO priorities into execution across product, hiring, licensing, partnerships and market launches. Track OKRs, decisions, blockers, owners and deadlines; prepare briefs, research notes, follow-ups and action trackers; coordinate cross-functional teams; identify and close execution gaps; and own urgent cross-department business problems.

Design and implement complex backend services for Binance Square. Collaborate with product, DevOps, and QA to deliver high-quality microservices, promote engineering best practices, and perform code reviews.

Early-career intern will support AI projects for compliance and risk (KYC, KYB, EDD). Tasks include testing and optimizing LLM/Agent workflows, reviewing prompts and model outputs, documenting findings and edge cases, supporting small-scale implementations, and performing operational analysis to improve processes.

Internship role supporting development, optimization, and deployment of computer vision models. Write Python code with PyTorch/TensorFlow, integrate vision solutions, run experiments, participate in code reviews and agile processes, and collaborate across engineering, product, and data teams to build prototypes and production features.

Early-career full stack engineer role to build end-to-end product features, integrate AI coding tools into the workflow, mentor peers, improve cross-team efficiency, and contribute across the product lifecycle from design through deployment.

Build and maintain full-stack web applications using React/Vue frontends and Java/Spring Cloud microservices. Design and consume REST/AI model APIs, work with SQL and NoSQL databases, use AI-assisted development tools, own features end-to-end, collaborate across product and design, ensure high-quality UI/UX, write tests, and contribute to documentation and architecture.

Join as an early-career full stack engineer to build frontend and backend product features, integrate AI coding tools into development workflows, translate product requirements into implementations, and grow toward autonomous full stack delivery while improving cross-team processes.

Support development of internal LLM-based tools (coding assistants, RAG pipelines, prompt optimization), improve engineering efficiency, test and document AI tools, and research emerging AI technologies.

Build AI-driven developer tools: coding assistants, knowledge retrieval, workflow automation, and LLM-powered apps for code generation, understanding, and test automation. Collaborate with engineering teams to identify pain points, ship solutions, and experiment with prompt engineering, RAG, and AI agents.