1 день назад
AI Engineer, Analyst – Data Analytics & AI
80 000 - 140 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer, Analyst – Data Analytics & AI (Python, SQL, LLMs): Building production AI solutions, retrieval pipelines, agentic workflows, and evaluation tooling for alternative asset management workflows with an accent on scalable software engineering and business-led discovery. Focus on deploying reliable AI systems under real user load, translating workflow friction into prioritized initiatives, and moving proofs of concept into supported production deployments.
Location: New York, United States
Salary: $80,000–$140,000 annual base salary
Company
is a global alternative asset manager with investment strategies spanning real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries, and hedge funds.
What you will do
- Embed with business units, shadow live workflows, and identify practical AI use cases across alternative asset management teams.
- Translate workflow friction into prioritized self-service quick wins and larger platform initiatives.
- Develop and maintain production software using Python and SQL with a focus on quality, scalability, reliability, and security.
- Build applied AI solutions including agentic workflows, retrieval pipelines, evaluation tooling, runbooks, and prompt libraries.
- Use Git, CI/CD, Docker, Terraform, and cloud deployment technologies to ship and operate solutions.
- Lead multiple projects, deliver training, and transition proofs of concept into supported production deployments.
Requirements
- 1+ year of experience in AI engineering, software engineering, or data analysis, with fluency in Python and SQL.
- Applied experience with LLMs and AI tooling, including prompt engineering, fine-tuning, agentic workflows, retrieval, or model evaluation.
- Experience shipping and maintaining production systems under real user load.
- Proficiency with software development lifecycle tools, including version control, CI/CD, containerization, and cloud deployment technologies.
- Experience collaborating with non-technical stakeholders, defining project scope, managing priorities, and communicating with technical and business audiences.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, or Economics.
Nice to have
- Experience working within a financial technology team, especially in alternative asset management, private wealth, or fund distribution.
- Ability to ramp quickly on unfamiliar tools and technology stacks with minimal supervision.
Culture & Benefits
- Fast-paced, entrepreneurial environment with open, iterative design and rapid development.
- Active mentoring, collaboration, and opportunities to make an impact from the start.
- Medical, dental, vision, and FSA benefits.
- Paid time off, life insurance, 401(k), and discretionary bonuses.
- Some employees may be eligible for equity and other incentive compensation.
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