Junior AI Native Engineer
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Role details
Tech stack
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Requirements
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Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field
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Foundational programming experience in at least one primary language: Python, Java, TypeScript, or Node.js
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Basic understanding of web technologies including JavaScript, HTML, and CSS
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Academic projects, internships, or personal projects in software development that demonstrate you can build and ship working code
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Understanding of Agile delivery fundamentals
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Active and frequent use of AI tools in day-to-day study or work - successful candidates can demonstrate practical, everyday examples of how they leverage AI to solve problems, accelerate learning, and improve their output
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Sound judgment when using AI: ability to validate outputs, understand limitations, and show curiosity about how AI is reshaping modern software engineering
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Demonstrated curiosity about agentic AI - evidence of self-directed exploration through personal projects, side builds, online courses, or experimentation with tools like LangChain, LangGraph, AutoGen, or equivalent; we are looking for inclination and initiative, not production experience
Preferred Skills & Exposure
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Some exposure to LLM APIs in any context (personal projects, coursework, or work)
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API and service-oriented architecture
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Databases - SQL or NoSQL
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Cloud platforms (AWS, Azure, or GCP) and DevOps concepts
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Frontend frameworks such as React or Angular
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Containers (Docker) and CI/CD pipeline basics
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