AI PLATFORM ENGINEER

Please find the details mentioned below.

Position Title: AI Platform Engineer

Location: Manhattan, NY

Duration : Full Time

Job Description

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.

QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline required.

REQUIRED SKILLS & EXPERIENCE:

• 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.
• Understanding of Model Context Protocol (MCP) is preferred.
• Strong analytical, problem-solving, communication, and collaboration skills.
• Experience working in Agile software development environments.

Preferred Qualifications

• 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.

Please let me know if you are interested in this position