AI Software Engineer

• Develop, test, and maintain AI-powered applications.
• Apply generative AI and LLMs to real-world workflows.
• Collaborate with cross-functional teams to understand requirements and optimize AI solutions.
• Analyze data to inform features and improve application performance.

Do you have experience in Software engineering?, Do you have a Bachelor's degree?, * Bachelor's degree in Computer Science, Computer Engineering, or a related field.

• 0-2 years of software development experience; recent graduates welcome.
• Familiarity with AI/LLM frameworks or strong interest in AI applications.
• Experience with one or more programming languages (Python, Java, C/C++, JavaScript/TypeScript).
• Proactive, enthusiastic, and eager to learn in a fast-paced startup environment.

Nice-to-have:

• Data analysis skills (structured/unstructured data, visualization, statistics).
• Experience in medical or life science applications.
• Cloud, web, or mobile development experience.

In 2020, a group of senior technology and product experts from Google and Verily China decided to delve into the intelligent digitalization of life science clinical research. Their findings resulted in AlphaLife Sciences, a pioneer in the fusion of life sciences and AI computer science as an AI-enabled integrated clinical research platform. Our flagship product, AuroraPrime, integrates Generative AI and Large Language Models (LLMs) into a powerful AI-driven SaaS platform. Trusted by global top MNCs, our innovations accelerate drug development and market entry. We are committed to globalizing AuroraPrime to enhance clinical trials and real-world research by leveraging cutting-edge AI, cloud computing, and big data. We help our clients achieve clinical operational efficiency, automate processes, and make smarter decisions to get their products to market faster. We are proud partners with Microsoft's Pegasus Program, Google for Startups, and Johnson & Johnson Innovation JLABS, delivering cutting-edge solutions like Generative AI-Copiloted Medical Writing, Intelligent EDC and Data Management, and Agile Trial Management.