
R&d Engineer
2 days ago
**Position**:R&D Engineer
**Level: P2**
**Location**:Singapore
**About Care**
Care is a healthcare technology company headquartered in Singapore, focusing on innovative digital solutions in the medical and healthcare field. We work closely with Raffles Medical Group to develop the Raffles Connect App, a leading platform for integrated healthcare services. Our team in Singapore oversees product, operations, technology, and sales, while our core software development team is based in Vietnam. Together, we’re dedicated to improving healthcare accessibility and quality through technology.
**Position Overview**
**Key Responsibilities**
- Design and develop rapid prototypes using technologies such as Python, Node.js, and React.js.
- Experiment with and evaluate emerging technologies (e.g., LLMs, ML frameworks, IoT platforms) for potential integration into future products.
- Translate high-level innovation ideas into technical proof-of-concepts and MVPs.
- Integrate RESTful and GraphQL APIs and work with real-time data streams to enrich prototype capabilities.
- Work with cloud platforms such as AWS or GCP to manage environments, services, and deployments.
- Contribute to the ideation and feasibility assessment of new product features or solutions.
- Support technical innovation across the organization by sharing insights, presenting findings, and championing experimental thinking.
- Conduct performance evaluations, scalability tests, and technical assessments for new concepts.
- Maintain clean, modular, and well-documented code, even during exploratory development.
- Ensure rapid iteration cycles while maintaining security, performance, and code quality.
- Participate in internal R&D planning, sprint cycles, and cross-domain collaboration.
**Qualifications**
- Bachelor’s degree in Computer Science or a related technical field.
- 5-7 years of engineering experience with a focus on innovation or R&D.
- Strong programming skills in Python, Node.js, and React.js.
- Familiarity with Large Language Models (LLMs), machine learning frameworks, or AI tools is a strong plus.
- Experience integrating RESTful and GraphQL APIs and working with real-time data streams.
- Experience with IoT development, including sensor integration, hardware interfacing, or edge computing, is advantageous.
- Familiarity with DevOps practices, including CI/CD pipelines, containerization (e.g., Docker), and automated deployments.
- Ability to work effectively in a high-velocity, ambiguous, and innovation-driven environment.
- Excellent problem-solving and analytical thinking skills.
- Strong communication skills with the ability to present technical ideas clearly.
- Self-motivated and able to manage time across multiple fast-moving projects.
- Experience in rapid prototyping and agile product development processes.
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