Job Details

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Description:

We're looking for an AI Engineer Intern who is eager to learn, experiment with new technologies, and apply AI to real-world problems. This internship is designed as a 3-month hands-on experience with the potential to transition into a full-time role based on performance.

The ideal candidate is someone who:

• 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.

Responsibilities:

• 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.

Nice to Have:

• Experience with multi-agent systems or orchestration frameworks.

• Background in data processing, file/image analysis, or workflow automation.

• Awareness of compliance, reliability, and scaling challenges.

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