Applied AI Engineer

We are seeking a highly motivated Applied AI Engineer to contribute to our data science and Ai investment solutions initiatives. This position is open to entry level candidates with a strong engineering foundation and a genuine interest in building production-grade AI systems. You will work closely with applied AI researchers, data engineers, and equity analysts to design, build, and maintain the backend infrastructure that powers AI-driven investment research tools. The successful candidate will bring engineering rigor, attention to detail, and a curiosity for how modern AI capabilities can be operationalized into reliable, scalable systems.

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

Qualifications:

• Bachelor's or Master's degree in Computer Science or a related technical field
• Strong proficiency in Python with a solid understanding of 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
• Familiarity with LLM APIs or AI agent architectures is a plus, with hands-on exposure through coursework, research, or personal projects preferred

#LI-LN1

#LI-Onsite

Visa sponsorship may be available for qualified candidates. Sponsorship decisions will be made in accordance with company policy and applicable laws.

Compensation Details

The salary range for this role is $125,000-$150,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs. This job is also eligible for a discretionary bonus, which, along with base salary and retirement contributions, is part of our total comprehensive package. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, retirement, life insurance and other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, production, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Neuberger Berman is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact

Learn about the Applicant Privacy Notice.