AI Platform Engineer
About The Position
Bayview Asset Management is seeking an AI Platform Engineer to help build the firm's Enterprise AI Platform that powers intelligent applications, AI agents, workflow automation, and reusable AI services across the organization. This role is focused 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. The ideal candidate combines strong backend software engineering expertise with hands-on experience building production AI applications using modern Large Language Models (LLMs), AI frameworks, and cloud-native technologies.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- 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.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Experience working in Agile software development environments.
Nice To Haves
- Understanding of Model Context Protocol (MCP) is preferred.
- 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.
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.
- Design and develop secure RESTful APIs and enterprise integrations.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
