ByteDance Solutions Architect Intern (BytePlus - Japan) - 2026 Start (BS/MS) のご案内
2026年03月10日更新
ByteDance
ByteDance Solutions Architect Intern (BytePlus - Japan) - 2026 Start (BS/MS) のご案内
2026年03月10日更新
勤務地
Tokyo
Responsibilities
Team Introduction
Join the Innovative BytePlus Team!
As part of BytePlus, you'll help both enterprises and AI-native developers build what's next for their business. Leveraging ByteDance's cutting-edge technologies in AI models, agent solutions and cloud infrastructure, we are devoted to developing innovative products and solutions to shape the future. We help our clients to focus on what truly matters. You can help us to achieve our mission.
We are looking for talented individuals to join us for an internship in 2026. Internships at our Company aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at our Company.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to Our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Please state your availability and graduation date clearly in your resume.
Responsibilities
- Bridge the gap between our cutting-edge Generative AI research on models and real-world industrial applications. You aren't just shipping code; you are solving the "last mile" problem of AI—ensuring models are performant, grounded, and integrated into complex agent solutions to deliver results directly.
- AI-native agent solution design & prototyping: Rapidly design and iterate AI agents based on clients' requirements, prototype workflows and system integrations, LoRA fine-tuned models tailored to specific industry needs (e.g., automated credit risk summaries for Fintech, or design style specific image/video content generation).
- Production-ready implementation and delivery: Write production-quality code to integrate AI model APIs in various agent frameworks (ADK, LangChain, etc) with necessary tools (RAG, vectorDB, memory base, cache management, skills, etc).
- Performance Optimization: Tackle challenges around latency, throughput, and cost. You’ll optimize prompt chains and implement caching strategies to ensure AI features scale for millions of users.
- Evaluation & Guardrails: Develop rigorous evaluation frameworks (LLM-as-a-judge, human-in-the-loop) to ensure outputs are safe, accurate, and hallucination-free—critical for compliance-heavy industries like Finance. Also to evaluate various models on the same tasks to conclude on the pros and cons for GTM.
- Cross-functional Collaboration: Work with product and Algorithm research teams to feed "field signals" back into the core product roadmap.
Qualifications
Minimum Qualifications
- Currently pursuing an Undergraduate/Master in Engineering or a related discipline.
- Prior school or internship project experience in the AI-native field, in the role of solution architect, Forward Deployed Engineer, or AI agent Product/Engineer is a plus.
- Deep understanding of AI solutions on Public Cloud products, including but not limited to LLM applications in industry verticals like e-commerce, social & entertainment, enterprises such as fintech and education, etc.
- Familiar with agentic AI design paradigms: Re-Act, Plan and Execute, Multi-Agent, Skills, etc.
- AI/ML: hands-on with real agentic frameworks and deep technical projects, including but not limited to Pageindex & RAG, prompt engineering, context engineering, etc.
- Engineering: proficiency in Python (FastAPI, PyTorch/Jax) and experience with orchestration frameworks like LangChain or LlamaIndex.
- Cloud/DevOps: experience with Docker, Kubernetes, and deploying models on cloud providers.
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