Tech Stack
AWSCloudGoogle Cloud PlatformPythonPyTorchTensorflow
About the role
- 3-month hands-on internship with the potential to transition into a full-time role based on performance.
- Design, develop, and deploy AI-powered solutions for real-world applications.
- Build modularized architectures to ensure components are reusable across projects.
- Use AI-powered coding assistants (Cursor, Copilot, etc.) to enhance productivity.
- Explore and integrate new AI/LLM frameworks, APIs, and data sources.
- Collaborate with the team to refine workflows and ensure outputs are reliable and user-centered.
Requirements
- Master's or PhD in Computer Science, AI/ML, or a related field , OR equivalent level of work experience.
- Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, or similar).
- Familiarity with LLM-based systems , prompt engineering, and API integration.
- Understanding of modular software design and reusable system components.
- Cloud deployment experience (AWS, GCP, or Digital Ocean).
- Curiosity and openness to learning quickly, especially by using AI tools to accelerate work.
- Builds with a modular mindset , creating reusable components.
- Leverages AI tools (e.g., Cursor, Copilot ) to accelerate learning and development.
- Cares about user needs and delivering practical, impactful solutions.
- Nice to Have: Experience with multi-agent systems or orchestration frameworks.
- Nice to Have: Background in data processing, file/image analysis, or workflow automation.
- Nice to Have: Awareness of compliance, reliability, and scaling challenges.