About the Role
The company is seeking a strongly customer-focused, self-driven and results-oriented Full Stack Engineer. In this role, you will work within the development team to build the annotation platform for both the front-end and back-end. Collaboration with Product Managers, Architects, and Software Engineers will be essential to research, design, implement, and improve functionalities as part of a Big Data analytic system.
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Key Responsibilities
- Own scoped features end to end: from requirements and technical design through implementation, testing, release, and production follow-up.
- Build responsive, accessible interfaces for annotation and data-review workflows.
- Develop backend services, RESTful APIs, data models, and asynchronous workflows.
- Collaborate with Product, Design, and Engineering to clarify requirements, address edge cases, and deliver complete user journeys.
- Use AI development tools to accelerate implementation, testing, debugging, and documentation while remaining accountable for quality.
- Write automated tests, participate in code reviews, and apply security, privacy, performance, and reliability practices.
- Troubleshoot issues across the stack and improve features based on production behavior and user feedback.
- Follow applicable company policies and engineering standards.
- Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.
Requirements
- Bachelor’s degree in information technology, Computer Science, Engineering or related field.
- Strong computer science knowledge and basic algorithms knowledge.
- 3+ years of professional software development experience, including delivering features across frontend and backend.
- A full-stack ownership mindset, with the ability to move between application layers and follow work through to production.
- Strong JavaScript and TypeScript skills, alongside HTML, CSS, and web fundamentals.
- Experience with component-based frontend development, preferably React and Next.js, including state management, data fetching, and client/server rendering concepts.
- Strong backend development experience with Java and Spring Boot, alongside working proficiency in Python for AI agent orchestration, LLM integrations, and supporting backend services.
- Practical knowledge of OOP concepts, SOLID principles, and modular design.
- Understanding of modular monoliths and microservices, including service boundaries and architectural trade-offs.
- Working knowledge of relational databases, data modeling, RESTful APIs, authentication, and authorization.
- Familiarity with message brokers, such as RabbitMQ or Kafka, and asynchronous processing concepts, including retries and idempotency.
- Experience with automated testing, Git, code reviews, and debugging across the stack.
- An AI-driven development mindset, with practical experience using coding assistants or agents and independently reviewing and validating their outputs.
- Clear communication, collaborative problem-solving skills, and the ability to explain technical trade-offs, raise risks early, and work effectively with product, design, and engineering teams.
Ideally, you’ll also need
- Experience building data-intensive applications.
- Experience integrating AI or LLM capabilities into applications.
- Familiarity with UI component libraries and design systems, such as Ant Design.
- Experience with CI/CD pipelines, Docker, cloud platforms, and application monitoring.
What Working Here Offers
- Culture: An open, diverse, and inclusive environment with a global vision that encourages personal growth and focuses on groundbreaking, industry-first innovations.
- Career: Accelerate your career through high-impact projects and access to resources for continuous growth and learning opportunities.
- Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits, and more.
