Job Description 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. Key Responsibilities • 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. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements • Strong proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, 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 LangChain, 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, NoSQL databases, and data governance best practices. • Experience in performance tuning for LLMs and implementing scalable architectures.