Senior Engineer, AI Technology

Company Overview A multi-strategy investment firm with over $8 billion in assets under management is seeking a Senior AI Engineer to join their central technology team. The role focuses on designing and implementing AI-native tools across the firm, integrating closely with on-prem data and systems. Job Responsibilities Build internal AI tools and automation workflows within on-prem datasets and infrastructure. Design and implement components for orchestration, vector search, and retrieval-augmented generation (RAG). Interface with external LLM APIs via secure, controlled endpoints; manage tokenization, prompts, and responses. Ensure secure data handling and auditability in hybrid on-prem and cloud LLM scenarios. Develop libraries and APIs for consistent, reusable patterns across user-facing tools. Integrate private databases, internal APIs, and real-time systems into AI workflows. Partner with stakeholders to gather requirements and prototype ideas. Identify and drive adoption of cutting-edge AI tools, frameworks, and vendors. Interface with management on feature implementation and requests. Develop agentic workflows for autonomous decision-making and task execution. Structure data for optimized retrieval, processing, and analysis. Deliver products tailored to varying levels of technical sophistication among end users. Qualifications Bachelor’s degree in computer science, operations research, or similar fields. 5+ years’ experience in backend or full-stack engineering, ideally with exposure to ML or AI tooling. Strong Python development skills; experience with modern LLM stacks. Comfortable working in hybrid environments with external API calls and internal data pipelines. Familiarity with standard infra tools like Docker, Kubernetes, and HAProxy. Experience designing secure, low-latency workflows across data boundaries. Excellent communication skills and a user-first mentality. Compensation Salary: $150,000 – $250,000, Plus Bonus #J-18808-Ljbffr Landing Point