GenAI Engineer; Events

Req

The AI/GenAI Engineer will play a critical role in building and deploying GenAI‑powered solutions for Hilco’s Corporate Intelligence platform. This position requires strong programming skills, hands‑on experience with AI/LLM development, and expertise in data integration to ensure seamless ingestion and readiness of diverse datasets for advanced AI workflows.

• Develop and implement AI/GenAI components for prospect watchlist automation, including coding for LLM‑based features and intelligent agents.
• Design and build data pipelines to ingest, clean, and transform data from internal systems and external APIs (e.g., CapIQ, Bankruptcy Data, Bloomberg).
• Collaborate with the Senior GenAI Engineer to
  optimize prompt engineering
  and integrate AI patterns into the solution architecture.
• Write
  production‑grade code
  for AI workflows, including model orchestration, retrieval‑augmented generation (RAG), and multi‑agent systems.
• Implement
  API integrations
  and ensure data readiness for LLM‑based insights and recommendations.
• Conduct
  model testing, fine‑tuning, and performance optimization
  to meet accuracy and latency requirements.
• Document technical processes and contribute to best practices for AI development and data engineering.

• Strong proficiency in
  Python
  and experience with AI/ML frameworks (e.g., PyTorch, Tensor Flow, Hugging Face Transformers).
• Hands‑on experience with
  LLM development
  , prompt engineering, and GenAI application design.
• Solid understanding of
  data engineering concepts
  , including ETL pipelines, API integration, and data modeling.
• Familiarity with
  Lang Chain, vector databases (e.g., Pinecone, Weaviate), and RAG techniques.
• Experience working with
  cloud platforms (Azure, AWS, or GCP) and containerization tools (Docker/Kubernetes).
• Ability to work collaboratively across distributed teams and deliver high‑quality technical solutions under tight timelines.

• Exposure to
  enterprise‑scale AI deployments
  and integration with CRM or ERP systems.
• Knowledge of
  SQL, No
  
  SQL databases
  , and data governance best practices.
• Experience in
  performance tuning for LLMs
  and implementing scalable architectures.

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