Artificial Intelligence Engineer
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続行すると、以下に同意したものとみなされます： 利用規約 & プライバシーポリシー.
Key Responsibilities
• Build end-to-end RAG pipelines (data ingestion, chunking, embedding, indexing, retrieval, re-ranking, evaluation, and monitoring).
• Implement agentic AI workflows (tool use, planning, multi-step orchestration, guardrails, memory, and error handling).
• Optimize inference performance and cost efficiency using platforms/frameworks such as NVIDIA NIM and Rebellions ATOM (or equivalent).
• Design and deploy production-grade systems (APIs, services, CI/CD, observability, and reliability engineering).
• Ensure security, scalability, and availability (authn/authz, secrets management, data protection, rate limiting, auditability).
• Collaborate closely with AI Facilitators and AI Researchers to translate research and product needs into robust implementations.
• Create technical documentation and promote knowledge sharing across teams. Required Qualifications
• Strong software engineering skills in Python and/or C++.
• Hands-on experience with LangChain (or similar orchestration frameworks) and Vector Databases.
• Experience building cloud infrastructure on AWS, Azure, or GCP.
• Understanding of API design and microservices architecture.
• 2+ years of professional software engineering experience. Preferred Qualifications
• Practical experience implementing RAG and/or agentic AI solutions in real products.
• Experience with NVIDIA NIM, Rebellions, or comparable inference/acceleration frameworks and stacks.
• Experience with MLOps/DevOps (containers, Kubernetes, CI/CD, monitoring, model/prompt versioning).
• Track record of open-source contributions. Key Outcomes / Success Metrics
• Delivery of scalable RAG and agentic AI implementations suitable for commercial production use.
• Stable operations of production systems (high availability, reliable performance, incident readiness).
• Continuous optimization of latency, throughput, and cost efficiency.
• High-quality technical documentation and effective internal knowledge sharing.
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