AI Engineer
At a glance
Mid-level AI Engineering role at prospect. New York · full-time · $130,000–$180,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build AI automations for quarter-end work, data gathering and investment processes to cut manual effort
- Create and refine models for valuations, risk reviews and operational decisions across the portfolio
- Work with leaders at wholly owned portfolio companies to apply automation toward improving profitability
- Turn large datasets into useful findings for fundraising, marketing and strategic planning
- Fit new AI tools into existing systems, then train and support the people using them
What you bring
- Three to five years of professional software development experience
- Strong Python, SQL, Docker, retrieval-augmented generation and data handling skills
- A record of delivering end-to-end automation that connects with APIs and other systems
Who this fits
This role suits a self-directed engineer who can take ambiguous projects from idea through delivery and explain technical work to nontechnical colleagues. You’ll work in person in New York and collaborate with investment, operations, finance and other teams.
From the employer
The Firm
Founded in 1988, Prospect Capital is an alternative asset management firm with $9.4B of assets under management, and pursues multiple strategies in the US, including direct lending, private equity, real estate private equity, and structured credit. Prospect has permanent capital and utilizes a long-term, value-oriented approach that employs fundamental bottoms-up research to identify investments that offer attractive risk and reward.
With offices in New York City, Connecticut, and Florida, the firm is comprised of 130+ experienced professionals who value entrepreneurship, intellectual rigor, hard work and continuous improvement.
Role and Responsibilities:
We are seeking an AI Engineer to drive innovation and automation across Prospect’s operations and our portfolio of 120+ companies. You will design and deploy advanced AI and machine learning solutions to streamline processes throughout the firm, from back-office operations and investment committee workflows to other internal functions. You’ll join a lean, fast-moving team within our larger organization, providing you with agility, resources, and significant opportunities for impact. This position will be based in-person in New York and involves close collaboration with teams across the firm—investment, operations, finance, and beyond—to develop AI-driven tools and solutions that enhance efficiency and decision-making. Key Responsibilities
- Automate Core Processes: Develop AI-driven automations for quarter-end processes, data collection, and various investment sub-processes, reducing manual work and driving operational excellence.
- Build & Refine Models: Design and improve internal AI models to support valuations, risk assessments, and operational decision-making across our extensive portfolio.
- Portfolio Company Optimization: Work directly with the C-Suite of Prospect’s 16 wholly owned portfolio companies to use automation to improve profitability at these firms.
- Cross-Functional Collaboration: Partner with investment, back-office, and other internal teams to identify and solve complex challenges using AI and data science methods.
- Data Analysis & Insights: Provide actionable insights derived from large data sets—informing fundraising, marketing, and strategic initiatives across the firm’s multiple verticals.
- Process & Systems Integration: Ensure seamless implementation of newly built tools and systems within existing infrastructure, providing training and support to stakeholders.
Candidate Requirements
- Self-Starter & Innovator: You thrive in a fast-paced environment and have a track record of tackling open-ended problems with minimal direction. You have an ownership mentality and can take complex projects from start to finish.
- Technical Expertise: 3-5 years of professional development experience. Strong Python, SQL, Docker, Retrieval-Augmented Generation, and data manipulation skills are essential. Familiarity with frameworks such as TensorFlow, PyTorch, or scikit-learn is a plus. Experience building projects using AI models is a plus.
- Financial Aptitude: Experience in an investment firm, structured finance, or private equity is beneficial but not mandatory. A desire to learn and adapt to financial applications of AI is crucial.
- Automation Mindset: Proven ability to build end-to-end solutions, automating complex processes and integrating with various APIs and systems.
- Web Development Experience: Comfort with RESTful API design and front-end frameworks is preferred, enabling seamless product deployment and integration.
- Project Management: Strong understanding of CI/CD. Experience with Azure/AWS. Adept at juggling multiple projects in a time-sensitive setting while maintaining a high level of attention to detail.
- Team Player: Exceptional communication skills, enabling you to translate technical concepts into actionable insights for non-technical stakeholders.
Join us to be part of an entrepreneurial, high-energy team dedicated to pioneering AI-powered solutions in the world of alternative investments. Here, you’ll have the autonomy to shape innovative projects, collaborate with top talent across the firm, and see your ideas come to life in real-time.
The anticipated annual base salary range for this position is $130,000 - $180,000 plus annual discretionary performance-based bonus. Actual pay may be adjusted based on experience and performance.
In addition to the base salary, the hired professional is eligible for comprehensive benefits, including 100% employer-paid premiums for medical, dental, vision insurance, life insurance, and AD&D. You'll also have access to pretax benefit accounts, including FSA, HSA, and Commuter accounts. Our perks go beyond the basics with a mentorship program, daily in-office paid breakfast and lunch, company-sponsored ski and sailing trips, and regular happy hours. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.