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 wide-ranging use cases
- Experience building or maintaining strategy/pattern catalogs for reusable GenAI solutions
📌 Gen AI Engineer (Hyderabad)
🏢 Quess Corp
📍 Hyderabad
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