AI Agents | Adaptive AI

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Personal and Motivational Fit

Personal and Motivational Fit

Tell us about yourself and what excites you about joining an early-stage AI startup like Adaptive AI.

Why are you interested in working for sweat equity rather than a traditional salary at this stage?

What motivates you to build in the AI and automation space?

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Technical Experience & Skillset

List the programming languages, frameworks, and AI/ML tools you are most proficient in.

Describe a recent project where you designed or implemented an AI-powered workflow or automation solution. What was your role, and what value did it deliver? (Attachment option: code samples, project documentation, or links to demos/github repos)

Do you have experience working with LLMs (e.g., OpenAI, Anthropic, open- source models) or building custom AI agents? Please elaborate with examples.

How have you used vector databases, prompt engineering, or RAG pipelines in past projects?

Attach your CV or LinkedIn profile and any relevant work portfolio or public repositories

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Problem-Solving and Collaboratio

How do you approach debugging or optimizing an underperforming AI system?

When working in a lean team, how do you balance writing production-ready code with experimentation and rapid prototyping?

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Product and Startup Mindset

Have you contributed to product strategy or had to make build vs. buy decisions in a project? Provide an example.

What, in your opinion, is the most important consideration when building AI tools for real business users?

Share any experience you have in customer-facing work or taking AI projects into production environments.

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Compatibility and Vision Alignment

What are your longer-term goals, and how does this opportunity fit with them?

How do you stay up to date with rapid developments in AI and automation technologies?

What would you want to see in an ideal partnership with Adaptive AI?

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Miscellaneous

Please include any questions you have for us, or anything else you’d like us to consider.

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Upload code samples, design documents, presentations, research papers, or links to relevant work (GitHub, portfolios, etc.).

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