1 день назад
AI Engineer, Associate – Data Analytics & AI
110 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer, Associate – Data Analytics & AI (Python/SQL/LLMs): Building production AI and data analytics solutions for alternative asset management workflows with an accent on agentic workflows, retrieval pipelines, model evaluation, and reliable cloud deployment. Focus on translating business workflow friction into scalable software, moving proofs of concept into production, and enabling self-service AI adoption across financial teams.
Location: New York, United States
Salary: $110,000–$170,000 annual base salary
Company
is a global alternative asset manager with more than $1.3 trillion in assets under management across 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, engage AI power users, and develop functional knowledge of capital raising, servicing, and reporting.
- Translate workflow friction into prioritized self-service improvements and larger platform initiatives.
- Develop and maintain production software using Python and SQL with a focus on code quality, scalability, reliability, and security.
- Build applied AI solutions including agentic workflows, retrieval pipelines, evaluation tooling, runbooks, and prompt libraries.
- Use Git-based change control, CI/CD, containerization, and cloud deployment technologies such as Docker and Terraform.
- Lead multiple concurrent projects, train technology and business teams, and transition proofs of concept into supported production deployments.
Requirements
- 3+ years of experience in AI engineering, software engineering, or data analysis, with fluency in Python and SQL.
- Applied experience with LLMs and AI tooling, including fine-tuning, prompt engineering, agentic workflows, retrieval, or model evaluation and benchmarking.
- 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 business stakeholders, defining project scope, managing scope changes, and handling multiple priorities.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, Economics, or a related field; financial technology experience is preferred.
Nice to have
- Experience in alternative asset management, private wealth, or fund distribution.
- Experience working within a technology team at a financial firm.
Culture & Benefits
- Fast-paced, entrepreneurial environment with open, iterative development processes.
- Active mentoring and opportunities to develop technical and business excellence.
- Medical, dental, vision, and FSA benefits.
- Paid time off, life insurance, and a 401(k) plan.
- Discretionary bonuses; eligible employees may receive equity and other incentive compensation.
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