AI Context Enginer

Hiring: Context Engineer (LLM / GenAI Systems)Location: New York CityContractOverviewWe are seeking a highly skilled Context Engineer to optimize LLM-driven systems through advanced prompt and context design. This role focuses on improving AI behavior, managing model risk boundaries, and architecting context pipelines that enhance accuracy, compliance, and performance.You will play a critical role in shaping how AI models receive, process, and respond to structured and unstructured data across the model lifecycle.Key ResponsibilitiesDesign and optimize prompt strategies and contextual frameworks to improve LLM performanceDevelop and refine context injection pipelines for enterprise AI systemsDefine escalation rules, guardrails, and model risk boundariesApply domain expertise in model lifecycle management and governanceCollaborate with AI Architects, ML Engineers, and Product teams to enhance system reliabilityMonitor and improve model outputs to reduce hallucinations and increase precisionImplement retrieval-based architectures using vector databasesRequired QualificationsStrong experience optimizing LLM behavior through prompt and context designSolid understanding of Model Risk Management (MRM) and AI governance principlesHands-on experience working with vector databases (e.g., Pinecone, Weaviate, FAISS)Experience designing escalation flows and defining risk boundaries in AI systemsKnowledge of model lifecycle stages: training, fine-tuning, deployment, monitoring