Senior AI Software Engineer (VP)

Senior AI Software Engineer (VP)

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Employment Type: Full-Time, Permanent - This role is not eligible for employment-based immigration sponsorship. Applicants must be legally authorized to work in the United States without employer sponsorship, now or in the future.

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Onsite in New York, NY - Local candidates only

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We are looking a Senior AI Software Engineer (VP) for an investment banking client seeking to expand its AI and Business Technology capabilities.

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This position combines hands-on software engineering with direct collaboration with investment bankers and business stakeholders. The successful candidate will develop AI-enabled applications, workflow automation, and software integrations that address business needs and improve day-to-day operations.

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The role requires an experienced engineer who can independently manage technical projects, from understanding business requirements and designing solutions to development, testing, deployment, and ongoing support.

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In addition to delivering business-facing applications, this individual will contribute to the firm's internal AI platform, develop reusable integrations, and provide technical guidance to junior colleagues.

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REQUIREMENTS:

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• Strong professional experience in software engineering, with hands-on proficiency in Python and JavaScript or TypeScript.
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• Experience developing full-stack applications using technologies such as React, Next.js, or Django.
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• Proven ability to design, develop, integrate, and troubleshoot APIs and backend services.
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• Strong knowledge of SQL and relational databases.
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• Working knowledge of generative AI technologies, including large language models (LLMs) and their integration into software applications.
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• Familiarity with software engineering practices involving Git, testing, debugging, deployment, and maintainable code.
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• Experience independently delivering software projects from requirements gathering through implementation and support.
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• Ability to communicate technical concepts, recommendations, and trade-offs to both technical and non-technical stakeholders.
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• Strong organizational, analytical, and problem-solving skills, with the ability to manage multiple priorities.
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• Experience providing technical guidance or mentoring to other engineers.
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• Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline.
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Additional Experience That Would Be Valuable

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• Developing AI-powered applications, retrieval-augmented generation (RAG) solutions, AI agents, or model evaluation workflows.
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• Familiarity with Model Context Protocol (MCP).
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• Experience with Azure or other cloud environments, containerization, CI/CD, authentication, access controls, and application monitoring.
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• Experience with Agile methodologies, Jira, stakeholder demonstrations, and user acceptance testing.
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• Exposure to investment banking, financial services, or transaction-related business processes.
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• Familiarity with Salesforce, Excel, or data visualization technologies.
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Interested in learning more? Apply to be considered for this opportunity.

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