Software Engineer
Role details
Job location
Tech stack
Job description
We are seeking a motivated and curious Software Engineer who is a recent or upcoming graduate passionate about the potential of Generative AI. This is a unique entry-level opportunity to blend your academic knowledge of computer science with hands-on experience in prompt engineering and AI-assisted development. You will join a collaborative team, receive mentorship from senior engineers, and contribute to building real-world products by leveraging cutting-edge Large Language Models (LLMs) and cloud platforms. If you are eager to learn and grow in the rapidly evolving field of AI, this role is for you., * Contribute to AI-Powered Features: Write, test, and debug high-quality code for new features under the guidance of senior engineers.
- Learn Prompt Engineering: Assist the team in designing, testing, and refining prompts to interact with LLMs (like GPT-4, Claude, etc.) for tasks like code generation and problem-solving.
- Utilize GenAI Tools: Learn to effectively use AI coding assistants (e.g., GitHub Copilot, Amazon CodeWhisperer) to enhance your productivity and learn best practices.
- Collaborate and Learn: Work closely with product, design, and engineering teams to understand requirements and contribute to technical solutions.
- Problem Solving: Apply your knowledge of data structures and algorithms to help solve complex challenges in a supportive team environment.
- Cloud Exposure: Gain hands-on experience deploying and monitoring applications on modern cloud platforms like AWS and Azure.
- Continuous Growth: Stay curious and actively learn about the latest trends, tools, and techniques in Generative AI and software development.
Requirements
- Education: Bachelor's or Master's in degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
- Programming Foundation: Solid understanding of at least one programming language, with a preference for Python, Java, Go, or TypeScript, demonstrated through coursework and projects.
- Software Fundamentals: Strong grasp of core computer science concepts, including data structures, algorithms, and object-oriented design.
- Passion for AI: A strong, demonstrable interest in Generative AI and prompt engineering, evidenced by personal projects, coursework, research, or a portfolio.
- Eagerness to Learn: A proactive and enthusiastic attitude towards learning new technologies and tackling unfamiliar challenges.
- Cloud Concepts: Basic familiarity with cloud computing concepts (what are AWS and Azure and what services they provide).