Highlights
Fully remote & flexible working hours; pick your clients; empower yourself with cutting-edge AI technologies.
Description
Job Summary
pJoin Drytis, a forward-thinking technology company specializing in AI-powered coding solutions. As an AI Computer Science Engineer, you will provide direct technical support and AI-driven development assistance to clients using our Vibe Coding platform. This role combines deep AI expertise with practical coding skills and client collaboration.
Responsibilities
- Engage with clients in live or asynchronous sessions for coding support and project guidance.
- Apply advanced prompt engineering and AI development techniques, including extensive use of AI coding applications.
- Debug, refactor, and complete application features across various software stacks.
- Collaborate via remote, cloud-based development tools and shared workspaces.
- Maintain detailed documentation of client sessions, tasks, and resolutions.
Required Skills
- Python programming
- Axure prototyping
- Agile methodology
- Git version control
- Cloud-based IDEs
Required Skills Explained
{'html': '
- Python: Knowledge and proficiency in Python, a versatile programming language used widely for AI development.
- JavaScript: Experience with JavaScript, essential for front-end and back-end development.
- Prompt Engineering: Understanding of how to craft prompts for Large Language Models (LLMs) effectively.
- AI-Assisted Coding Tools: Familiarity with advanced AI coding applications that integrate seamlessly into the development process.
- Full-Stack Development: Ability to work across various software stacks, from front-end design to back-end deployment and production environments.
- Cloud-Based IDEs and Version Control: Experience using cloud-based integrated development environments (IDEs) such as AWS or Azure, and proficiency in version control systems like Git.
'}
Who is this for
pThis role suits individuals with a strong background in AI and software engineering, excellent communication skills, and the ability to work independently. Ideal candidates are comfortable with remote collaboration and have hands-on experience with full-stack development.
Why This Job is a Good Opportunity
{'html': 'ulliRemote Work Flexibility: Design your schedule around your life with fully remote work options.liCareer Growth Potential: Opportunities to lead process improvement initiatives and contribute to platform optimization.liDirect Client Interaction: Hands-on, fast-paced client-facing work that has a direct impact on product delivery.liInnovative Technology: Work with cutting-edge AI technologies and push the limits of advanced AI coding tools.liSelective Project Choices: Choose clients and projects based on your interests and strengths.'}
Interview Preparation Tips
{'html': '
- Practice Technical Questions: Prepare for technical interviews by practicing common programming problems related to Python, JavaScript, and AI coding tools.
- Prompt Engineering Exercises: Work through exercises that focus on crafting effective prompts for LLMs.
- Mock Client Sessions: Simulate client interaction scenarios to improve your communication and problem-solving skills.
- Review Cloud-Based Tools: Familiarize yourself with cloud-based IDEs, version control systems, and API integrations.
- Highlight Personal Projects: Showcase any personal or previous projects that demonstrate your AI and full-stack development experience.
'}
Career Growth in This Role
{'html': 'pThis role offers significant opportunities for career growth as you contribute to process improvement initiatives and platform optimization. You can lead projects, take on more responsibility, and potentially move into a leadership position within the company or client organizations. The dynamic nature of the job ensures continuous learning and development in AI and full-stack technologies.pWith experience, you may also have the chance to mentor newer team members, further solidifying your expertise and influence in the field. Your communication skills will continue to develop as you engage more deeply with clients, potentially opening doors to more strategic roles within client organizations or in technology consulting firms.'}
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Skills
Frequently Asked Questions
What is the compensation range?The compensation ranges from $4.28 to $17.15 per hour based on experience and performance.
Do I need previous AI coding tool experience?Yes, hands-on experience with prompt engineering, LLMs, and AI-assisted coding tools is required.
Is this role fully remote?Absolutely! You can work from anywhere that suits your lifestyle and internet connectivity needs.
