Engineer - Full Stack

Opportunity

Key responsibilities

• Own scoped features 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 across product, design, architecture, and engineering to clarify requirements, resolve edge cases, and deliver complete user journeys.
• Use AI development tools for implementation, testing, debugging, and documentation while validating output and maintaining quality.
• Write automated tests, participate in code reviews, and apply security, privacy, performance, and reliability practices.
• Troubleshoot across the stack and improve features using production behavior and user feedback.
• Follow company engineering, QHSE, business continuity, information security, privacy, risk, compliance, and governance policies.

Required qualifications

• Bachelor’s degree in information technology, computer science, engineering, or a related field; strong computer science and basic algorithms knowledge.
• At least 3 years of professional software development experience delivering frontend and backend features.
• Full-stack ownership through production; strong JavaScript, TypeScript, HTML, CSS, and web fundamentals.
• Strong Java and Spring Boot experience, with working Python proficiency for AI orchestration, LLM integrations, and supporting services.
• Practical knowledge of object-oriented programming, SOLID principles, and modular design; understanding of modular monoliths and microservices.
• Working knowledge of relational databases, data modelling, RESTful APIs, authentication, and authorization.
• Experience with automated testing, Git, code reviews, and debugging across the stack.
• Practical experience using AI coding assistants or agents, with independent review and validation of their output.
• Clear communication, collaborative problem-solving, explaining technical trade-offs, raising risks early, and working effectively across teams.

Preferred experience

• Experience building data-intensive applications or integrating AI and 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.
• React and Next.js are identified as preferred frontend technologies; RabbitMQ or Kafka are examples of message brokers.

About Presight

Working at Presight

• The employer describes an open, diverse, and inclusive culture, career growth and learning opportunities, and competitive remuneration with healthcare, education support, and leave benefits.