About the role

  • Senior LLM Engineer developing LLM-powered systems and evaluating AI systems' operational reliability for Wolters Kluwer's Digital eXperience Group.

Responsibilities

  • Design and implement LLM-based systems for production use cases.
  • Participate in architectural decisions around model selection, prompt designs, data flows, and system constraints.
  • Optimize LLM usage for latency, cost, and reliability, using techniques such as prompting strategies, caching, and system-level optimizations.
  • Establish and own the evaluation framework for AI systems, from defining metrics to implementing automated evaluation pipelines.
  • Architect, build, and rigorously evaluate RAG pipelines, with a strong focus on retrieval and generation metrics.
  • Implement guardrails and constraints to improve the reliability and safety of model behavior, and to mitigate known failure modes.

Requirements

  • Strong Python skills, with production-grade engineering standards.
  • Proven experience building and operating LLM systems in production, including performance and latency trade-offs.
  • Deep understanding of LLM failure modes (hallucinations, drift, prompt sensitivity) coupled with a rigorous, metric-driven approach to evaluating and mitigating them.
  • Ability to work autonomously and make sound engineering trade-offs under real-world constraints.
  • Professional-level English communication skills.
  • Hands-on experience deploying, serving, and optimizing open-source large language models (e.g., Llama 3, Mistral, Mixtral) in production (Nice to Have).
  • Familiarity with LLM application frameworks and orchestration layers (e.g., LangChain, LlamaIndex, or custom implementations) (Nice to Have).
  • Strong DevOps / MLOps background (Nice to Have).

Benefits

  • Global Well-being Program
  • Health insurance
  • Paid time off

Job title

Senior AI Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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