AI Platform Engineer

About the role

Bayview Asset Management is seeking an AI Platform Engineer to build the firm's Enterprise AI Platform. This role focuses on designing and delivering enterprise-grade AI capabilities that enable business teams across Research, Trading, Portfolio Management, Operations, Human Resources, and Finance to leverage Generative AI safely and effectively.

Responsibilities

• Design, develop, and deploy production AI applications utilizing foundation models such as OpenAI, Anthropic, Gemini, or equivalent technologies.
• Build reusable Model Context Protocol (MCP) servers that securely expose enterprise tools, APIs, and data sources.
• Develop AI agents capable of planning, reasoning, and executing complex business workflows.
• Design and implement Retrieval-Augmented Generation (RAG) solutions utilizing enterprise knowledge bases and vector databases.
• Build scalable backend services using Java (Spring Boot) and/or Python.
• Implement AI evaluation frameworks, observability, prompt testing, monitoring, and cost optimization practices.
• Collaborate with business stakeholders to identify, prioritize, and deliver high-value AI use cases.
• Mentor software engineers and promote AI engineering best practices across development teams.
• Contribute to the ongoing evolution of Bayview's Enterprise AI Platform architecture and reusable AI services.
• Participate in code reviews, technical design discussions, and software architecture planning.
• Produce technical documentation supporting development, deployment, and operational processes.
• Stay current with emerging AI technologies, frameworks, and industry best practices.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline required.
• 5+ years of professional software engineering experience building scalable backend applications.
• Strong proficiency in Java (Spring Boot) and/or Python.
• Experience developing REST APIs, SQL-based applications, and distributed systems.
• Experience with Git, Docker, and Kubernetes.
• Hands-on experience building production Generative AI applications using Large Language Models (LLMs) such as OpenAI, Anthropic, Gemini, or similar.
• Experience with AI frameworks such as LangGraph, LangChain, Semantic Kernel, LlamaIndex, CrewAI, AutoGen, or similar.
• Experience with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI agent development.
• Familiarity with cloud AI platforms including Azure AI, AWS Bedrock, or Google Vertex AI.
• Understanding of Model Context Protocol (MCP) is preferred.
• Strong analytical, problem-solving, communication, and collaboration skills.
• Experience building enterprise AI platforms or reusable AI services.
• Financial services or asset management experience.
• Knowledge of AI governance, security, evaluation, and observability.
• Experience with enterprise search, workflow automation, or open-source AI technologies.

Location and Compensation

This role will be located in our New York, NY office. The expectation for this role will be hybrid, with 3 days on-site (Tues - Thurs). The compensation range provided for this position will be based on years of relevant experience.

Physical Demands

While performing the duties of this position, the employee is regularly required to sit, stand, use hands to operate a computer, and communicate verbally. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Equal Employment Opportunity

Bayview Asset Management is an Equal Opportunity Employer. Bayview does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, genetic information, or any other characteristic protected by applicable federal, state, provincial, or local law.