- 경험
- 어느
- 샐러리
- —
- 채용 공고
- 1
- 게시됨
- 3시간전
- 작업 모드
- 사무실에서
- 재개하다
- 신청 시 필수 사항
당신이 일하게 될 곳
직무 설명
Role Overview
This position focuses on bridging high-level industry challenges and domain-specific business needs with data science, prompt engineering, and large language model (LLM) applications. The role involves converting abstract business problems into actionable AI-centric requirements to drive successful outcomes.
Key Responsibilities
- Translate complex industry issues and business demands into specific requirements for data science, prompt engineering, and LLM systems.
- Prioritize AI product backlogs considering algorithm complexity, data availability, and expected business impact to maximize AI feature ROI.
- Identify and manage machine learning and cognitive computing requirements, including creating synthetic user stories, acceptance criteria, and edge cases for probabilistic outcomes.
- Redesign existing process workflows to integrate agentic workflows and automated decision-making, incorporating human-in-the-loop feedback loops for ongoing model improvement.
- Define product success criteria and performance metrics for AI systems with non-deterministic outputs, encompassing accuracy, latency, hallucination rates, and compliance with ESG and responsible AI guidelines.
Primary Skills and Expertise
- Comprehensive knowledge of generative AI, large language models, including their capabilities, limitations, architectures, tokenomics, and cost optimization methods.
- Expertise in autonomous agent system architectures, with strategic insight into deploying single solutions versus multi-agent automated systems.
- Proficient in prompt engineering and model adjustment to align system outputs with product branding and to design sophisticated semantic data synthesis structures.