Software Engineer NYC AI Data Science Labs Investment Management
Listed on 2025-12-07
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Software Engineer
NYC AI Data Science Labs – Investment Management
J Harlan Group is currently conducting a search for a Software Engineer at a prominent Investment Manager in their NYC AI Data Science Labs.
This opportunity is available in both their New York City offices and at their brand-new AI Data Science squad in their new Baltimore location. Both locations offer the opportunity to collaborate with top talent, drive innovation, and make a real impact on asset management.
This is a “hands‑on” – “end‑to‑end” engineering opportunity with direct responsibility to Design, Develop, and Deploy autonomous AI systems as part of the firm’s AI Data Science Labs’ AI Engineering team. Collaborate in cross‑functional squads, contribute to the Build‑Operate‑Transfer process, and help scale responsible AI solutions across the enterprise.
The AI Data Science Labs is focused on building the firm’s next‑generation data and AI platforms, aiming to seamlessly deliver on‑demand ML‑powered insights across their firm
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- Design, build, test, and deploy AI agents and intelligent systems for modern cloud‑based, n‑tier architectures.
- Partner with business stakeholders to develop agent‑driven workflows that automate complex processes and generate actionable insights.
- Championing engineering excellence by applying best practices in AI development, continuous integration, and code quality.
- Contribute to projects on agent orchestration, prompt engineering, and real‑time, data‑driven automation.
- Manage technical debt and drive ongoing improvements in AI platforms and infrastructure.
- Proactively seek opportunities to apply AI agents for increased business value and operational efficiency.
- Collaborate directly with business stakeholders to understand needs and priorities.
- Make technology decisions that support current and future business objectives and fiscal responsibility.
- Translate business requirements into effective technology solutions.
- BS or MS in Computer Science or a related technical field (or equivalent experience)
- 2+ years of professional development experience in an object‑oriented language (Java, Python, or JavaScript preferred).
- Practical experience building AI‑driven applications using LLMs, including:
- Prompt engineering
- Retrieval‑augmented generation (RAG)
- Vector search
- Agent‑based workflows
- Model/tool orchestration
- Ability to integrate LLMs into cloud‑native microservices and apply safety/guardrail patterns, implement human‑in‑the‑loop review flows, and evaluate AI output for groundedness, reliability, and compliance.
- Hands‑on experience with cloud‑native architectures (AWS, Azure), containerized microservices, and agent frameworks.
- Strong analytical and problem‑solving abilities.
- Commitment to quality via automated testing, code reviews, and continuous delivery.
- Results‑driven with a passion for learning and staying current with emerging technologies.
- Experience with React and/or Angular.
- Solid understanding of financial markets and financial instruments.
An individual who loves solving deep and complex technical and business problems and wants to have an outsized impact with the services/ products they deliver. An individual with a passion for technology engineering high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world‑class services.
If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792‑0099.
About the ClientThe firm is a publicly owned global asset management firm with $1.8 trillion dollars of AUM. The firm offers funds, advisory services, account management, and retirement plans and services for individuals, institutions, and financial intermediaries.
The talent and dedication of their people is critical to their success. They offer an opportunity for developing one’s professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis.
They seek candidates who are high‑energy self‑starters…
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