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Lead / Manager - AI Engineering

🕒 22 days ago
GenaiAgentic AILLMAzure AI

📜 Description

  • Translate business needs into testable GenAI and Agentic Engineering solutions with clear outputs and measurable success criteria.
  • Run feasibility assessments to choose the right approach: prompting vs RAG vs fine-tuning vs classical ML.
  • Select and develop models based on task requirements, working with AI Engineering to understand latency, cost, and risk profile.
  • Design prompting strategies and establish prompt iteration methodology driven by evaluations.
  • Define the evaluation plan for GenAI systems and agentic workflows, ensuring fairness and bias considerations.
  • Own experimentation and model improvements, running structured experiments across prompts and models.

🛠️ Requirements

  • 5-10 years of overall AI/ML experience, with at least 2-3 years in Generative AI solutions.
  • Strong background in applied ML, data science, LLM, and Agentic AI Engineering Systems.
  • Deep expertise in evaluation design, metrics, and dataset curation for LLM systems.
  • Proven experience in model selection and prompt engineering.
  • Strong proficiency in Python and major ML frameworks (PyTorch, TensorFlow, Scikit-learn).
  • Experience with cloud-native AI tools like Azure OpenAI, AWS Bedrock, or Snowflake Cortex.
Pinterest

Principal Engineer, Shopping & Delivery Infra

Pinterest👥 5001 - 10,000 employees🏢 Computer Software
🔥 11 hours ago

Lead the technical strategy and execution for indexing and retrieval infrastructure at Pinterest, enhancing freshness, quality, and cost efficiency across Core, Ads, and Shopping.

Indexing SystemsRetrieval InfrastructureTechnical LeadershipSystems Design

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