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Bayview Mortgage Jobs (NOW HIRING)

Bayview Asset Management

VP, STRUCTURING

Manhattan, NY · On-site

$140K - $225K/yr

Founded in 1993, Bayview Asset Management is an investment management firm focused on investments in mortgage and consumer credit, including whole loans, asset-backed securities, mortgage servicing ...

Bayview Asset Management

VP, STRUCTURING

Manhattan, NY · On-site

$140K - $225K/yr

Founded in 1993, Bayview Asset Management is an investment management firm focused on investments in mortgage and consumer credit, including whole loans, asset-backed securities, mortgage servicing ...

Bayview Asset Management

Backend Engineer

Manhattan, NY · Hybrid

$110K - $140K/yr

Overview ABOUT US Founded in 1993, Bayview Asset Management is an investment management firm focused on investments in mortgage and consumer credit, including whole loans, asset-backed securities ...

Bayview Asset Management

Backend Engineer

Manhattan, NY · On-site

$110K - $140K/yr

Overview ABOUT US Founded in 1993, Bayview Asset Management is an investment management firm focused on investments in mortgage and consumer credit, including whole loans, asset-backed securities ...

Bayview Asset Management

Receptionist

Manhattan, NY

$60K - $80K/yr

Overview About us Founded in 1993, Bayview Asset Management is an investment management firm focused on investments in mortgage and consumer credit, including whole loans, asset-backed securities ...

Bayview Asset Management

Receptionist

Manhattan, NY · On-site

$60K - $80K/yr

Overview About us Founded in 1993, Bayview Asset Management is an investment management firm focused on investments in mortgage and consumer credit, including whole loans, asset-backed securities ...

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Showing results 21-40

All JobsBayview Mortgage Jobs

Bayview Mortgage information

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$28.5K

$50.9K

$94.5K

How much do bayview mortgage jobs pay per year?

As of Aug 9, 2026, the average yearly pay for bayview mortgage in the United States is $50,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $55,000.00 per year, depending on experience, location, and employer.

What is Bayview Mortgage?

A Bayview Mortgage typically refers to a home loan or mortgage product offered by Bayview, a financial services company specializing in mortgage lending and servicing. Bayview may provide various types of mortgages, such as fixed-rate, adjustable-rate, and refinancing options, to help individuals purchase or refinance homes. The specific terms, eligibility requirements, and application process can vary depending on the product and location. Borrowers interested in a Bayview Mortgage should review available loan options and contact the company directly to discuss their needs and qualifications.

What are common challenges faced by mortgage loan officers at Bayview Mortgage, and how can they be managed?

Mortgage loan officers at Bayview Mortgage often face challenges such as fluctuating interest rates, tight lending regulations, and the need to manage multiple client files simultaneously. Success in this role requires strong organizational skills, adaptability to changing market conditions, and excellent communication with both clients and internal teams. Building strong relationships with realtors and staying updated on product offerings can help overcome these challenges and lead to greater client satisfaction and career growth within the company.

What is the difference between Bayview Mortgage vs Bayview Loan Officer?

AspectBayview MortgageBayview Loan Officer
RoleCompany providing mortgage lending servicesIndividual responsible for originating mortgage loans
CredentialsCompany licenses, industry certificationsLoan officer license, certifications like NMLS
Work EnvironmentOffice-based, corporate settingClient-facing, sales-driven environment
Industry UsageMortgage lending industryMortgage lending industry

Bayview Mortgage refers to the company offering mortgage services, while a Bayview Loan Officer is an individual working within or for such a company, responsible for helping clients secure loans. The company handles operations and compliance, whereas the loan officer focuses on client interaction and loan origination.

What are the key skills and qualifications needed to thrive as a mortgage loan officer at Bayview Mortgage, and why are they important?

To thrive as a Mortgage Loan Officer, you need a strong understanding of mortgage products, lending regulations, and financial analysis, often supported by relevant experience or NMLS licensure. Familiarity with loan origination software, CRM systems, and financial documentation tools is typically required. Excellent communication, relationship-building, and problem-solving skills help generate leads and guide clients through complex transactions. These skills ensure accurate loan processing, regulatory compliance, and a positive client experience in a competitive market.
More about Bayview Mortgage jobs
What job categories do people searching Bayview Mortgage jobs look for? The top searched job categories for Bayview Mortgage jobs are:
Bayview Mortgage jobs near you
Infographic showing various Bayview Mortgage job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $50,903 per year, or $24.5 per hour.

AI Platform Engineer

Bayview Asset Management

Manhattan, NY • On-site

Full-time

Posted 26 days ago

Job description

Overview
ABOUT US
Founded in 1993, Bayview Asset Management is an investment management firm focused on investments in mortgage and consumer credit, including whole loans, asset-backed securities, mortgage servicing rights, and other credit-related assets.
POSITION SUMMARY
Bayview Asset Management is seeking a 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.
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.
  • 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.

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