To-C Backend Engineer Intern — Golang / AI PoC

Responsibilities Explore whether marketing-related problems can be solved through AI, LLMs, Agents, automation workflows, or data pipelines. Design and implement minimum viable PoC / Demo projects, including Agent-based tools, workflow systems, or automated pipelines. Use public data, simulated data, or sandbox environments to validate technical feasibility. Evaluate whether a proposed AI solution is technically feasible, business-relevant, and worth further engineering investment. Deliver clear conclusions on whether the solution should move into the engineering implementation stage. Prepare final deliverables, including: One runnable demo One technical and cost analysis document One conclusion report on whether the idea is worth productizing You will not be responsible for long-term maintenance, but you will be responsible for proving whether the idea is worth building. Requirements 2026 graduate with a bachelor’s degree or above in Computer Science, Software Engineering, Telecommunications, or related fields. Able to intern for at least 6 months, with 5 days per week availability. Strong interest in AI, especially LLMs, Agents, and automation. Able to independently complete PoC development from problem understanding to demo delivery. Clear logical thinking and ability to explain complex technical problems in a structured way. Solid foundation in data structures and computer systems. Familiar with at least one programming language: Golang, Java, C++, or C; Golang experience is preferred. Familiar with SQL and basic database usage. Strong coding ability, fast learning ability, and willingness to explore new technologies. Good teamwork spirit, rigorous working attitude, resilience, and optimism. Nice to Have Experience in AI, automation, data-related projects, research, or engineering practices. Understanding of or interest in marketing, social media, growth, KOL operations, or content workflows. Interest in the following areas: Virtual KOLs / AI Agents AI-powered social media monitoring and auto-reply systems AI-driven social media user acquisition Potential KOL discovery and evaluation Publications in top academic conferences or journals, competition awards, or internship experience at well-known companies. Deep understanding of open-source frameworks or successful research / practical technical projects.