Applied AI Engineer at Neuberger Berman in New York, NY

Summary: Neuberger Berman is seeking a highly motivated Applied AI Engineer to contribute to their data science and AI investment solutions initiatives. This role involves collaborating with AI researchers and data engineers to design and maintain backend infrastructure for AI-driven investment research tools. Responsibilities: - Design and manage automated data pipelines and workflow orchestration (e.g., Airflow) to ensure timely, reliable delivery of structured investment data - Containerize and deploy applications using Docker and Kubernetes, supporting a robust and scalable AI infrastructure on AWS - Build and maintain RESTful backend APIs using FastAPI to serve AI-powered features and data services to internal research teams - Integrate and maintain connections to LLM APIs (e.g., OpenAI, Anthropic Claude) and agentic AI frameworks, ensuring reliable and cost-efficient usage - Implement CI/CD pipelines and apply infrastructure-as-code practices to improve deployment reliability and engineering velocity - Collaborate cross-functionally with researchers and analysts to translate requirements into well-tested, maintainable backend systems Required Qualifications: - Bachelor's or Master's degree in Computer Science or a related technical field - Strong proficiency in Python with a solid understanding of software engineering best practices, including code maintainability, testing, and version control - Familiarity with backend frameworks (FastAPI or similar) and experience building or consuming RESTful APIs - Exposure to containerization (Docker) and cloud platforms (AWS preferred); Kubernetes experience is a plus - Understanding of CI/CD principles and workflow automation tools (e.g., Airflow, cron) - Exceptional attention to detail and a methodical approach to debugging and system design Preferred Qualifications: - Familiarity with LLM APIs or AI agent architectures is a plus, with hands-on exposure through coursework, research, or personal projects preferred Required Skills: Python, FastAPI, Docker, AWS Important Skills: CI/CD, Kubernetes, Airflow Nice-to-Have Skills: Debugging, System design, LLM APIs Benefits: Visa sponsorship may be available for qualified candidates. Sponsorship decisions will be made in accordance with company policy and applicable laws., Paid time off, Medical/dental/vision insurance, Retirement, Life insurance, Other benefits