Source description
About the role
Bachelor’s or Master’s de gree in Computer Science, Software Engineering, Data Science, Mathematics, or a related field
0–3 years of software engineering, AI engineering, or relevant internship/project experience
Strong programming fundamentals in Java or Python, TypeScript, or backend development is a plus
Good software engineering judgment, including APIs, debugging, system design, and data handling
Strong curiosity about LLMs, AI agents, tool use, retrieval, evaluation, and production AI systems
Ability to learn new domains quickly and work effectively in ambiguous environments
Ability to read, understand, and improve AI-generated code, or learn to do so very quickly
Good communication skills and the ability to connect technical work to business value
Bonus Points
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Personal projects, hackathons, or internships involving LLM apps, AI agents, RAG, automation, or internal tools
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Familiarity with OpenAI APIs, Anthropic APIs, vector databases, agent frameworks, or orchestration tools
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Experience with backend systems, cloud environments, observability, or production support
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Exposure to fintech, crypto, customer support systems, operations workflows, or risk/compliance processe s
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What Makes You a Fit for Tech Seeds 2026
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You are self-driven, AI-native, and practical. You learn fast, like solving real problems, and are excited to turn new ideas into working systems. You do not wait to be told every step: you explore, test, iterate, and improve.
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