Live opening · Posted 8 days ago
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Role Overview
GenAI Engineer to design the LLM-powered intelligence layer of our Automated Vectorization Framework. This role covers everything from prompt engineering and pattern recommendation to building the code-generation engine that automatically produces vectorization pipelines and infrastructure-as-code from a single strategy configuration.
Key Responsibilities
Design and build the Pattern Recommender and Novel-Pattern Detector
Develop the Config-Driven Generator Engine for automated pipeline creation
Author and maintain the Vectorization Strategy Catalog in YAML
Build all pipeline templates, including Text, Structured, DICOM, and Knowledge Graph (KG) patterns
Develop the CodeGen Skill Pack to support automated pipeline and IaC generation
Apply prompt engineering best practices to optimize LLM performance across use cases
Required Skills & Tech Stack
Hands-on experience with Claude 3.5 Sonnet and GPT-4o (or comparable LLMs)
Strong Python programming skills
Experience with Jinja2 and/or Cookiecutter for templated code generation
Proficiency in YAML for configuration authoring
Experience with Google Vertex AI or Google AI Studio
Strong prompt engineering skills across varied use cases
Experience building or maintaining strategy/pattern catalogs for reusable GenAI solutions
Work arrangement
No
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