Artificial Intelligence / Machine Learning Engineer - Associate
Summary
Associate AI/ML engineer at fintech iCapital, building and operating production AI systems — LLM-based reasoning, document intelligence (OCR/IDP), and agentic orchestration — as APIs and services. Day to day: full lifecycle work from POC to deployment, evaluation pipelines, and Python/AWS-based ML development alongside senior engineers in New York (hybrid, office Mon-Thu).
About the Role
iCapital is seeking an Associate AI Engineer to help build and scale production-grade AI systems that deliver real business outcomes. This role is ideal for an engineer early in their career who enjoys turning ambiguous problem statements into working systems, and who pairs creative problem-solving with disciplined measurement, reproducibility, and operational rigor. This individual will be on the AI/ML team and will work closely with senior AI and machine learning engineers, as well as cross-functional partners, to design, implement, evaluate, and operate AI capabilities as APIs and services in a real-world FinTech environment. This individual will be expected to bring strong analytical fundamentals, curiosity, and a bias toward delivering robust, maintainable systems.
Responsibilities
- Design and implement modular AI capabilities including LLM-based reasoning, document intelligence (OCR/IDP), intelligent knowledge systems, and agentic orchestration to power internal and external workflow automation.
- Own components of the full AI system life cycle to achieve tangible business outcomes, including scoping, POC, solution design, model development, deployment, monitoring and continuous improvement in production environments.
- Build robust evaluation pipelines for AI systems, defining statistically sound, problem-specific metrics, constructing and curating benchmark datasets, and enforcing strict dataset and model versioning to ensure reproducibility and continuous improvement.
- Collaborate across teams and communicate results clearly via documentation, write-ups, and handoffs.
Qualifications
- 2-3 years of relevant experience, including hands-on experience developing production AI/ML systems, including exposure to AWS or cloud-native development patterns for AI/ML workloads, and familiarity with AI development life cycle best practices
- Strong proficiency in Python
- Solid fundamentals in statistics, exploratory data analysis, and the ability to reason about data quality, experiments, and error patterns
- Clear written and verbal communication with the ability to document work and collaborate in a team setting
- Experience with modern LLM tooling (i.e. transformers, unsloth, vLLM, agentic frameworks) or document AI approaches (IDP)
- Familiar with software development best practices (source control, CI/CD, testing, documentation) and working through a full development lifecycle
- Experience with various agentic communication protocols, (i.e. MCP, A2A) is a plus
Benefits
The base salary range for this role is $100,000 to $130,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit Twitter: @icapitalnetwork | LinkedIn: | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Skills
As published by greenhouse · 14 questions · 1 written answer
Basics
First Name, Last Name, Preferred First Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (8)
- What is your LinkedIn profile URL? If applicable, please share the link. optional
- What is your personal website or online portfolio? If applicable, please share the link. optional
- What is your full legal name?
- What is your desired base salary expectation? Please specify the amount and currency.
- What is your desired total annual compensation when considering an equity award? Please specify the amount and currency.
- If "Employee Referral" was selected for "How did you hear about this job?" please type the full name of the referring employee. If not, please type in "N/A".
- Are you subject to any form of Garden Leave or a Non-Compete Agreement? If yes, please provide detail below.
- What is your desired bonus expectation? Please specify the amount and currency.
Pick from a list (5)
- Are you legally eligible to work in the country where this role is located?
- How did you hear about this job?
- Do you currently require any type of visa sponsorship for employment?
- Do you require any type of visa sponsorship for employment in the future (i.e. student visa transfer to H1B, etc)?
- iCapital is an office-first culture, as such all employees are required to work in the office Monday-Thursday, with the flexibility to work remotely on Friday, depending on the department. Please review the job description before applying, to identify the specified location/s for the role.
Written answers (1)
- What forms of deferred compensation do you currently have (e.g., unpaid or deferred bonus, equity, or other long‑term incentive plans)? Please provide as much detail as possible. If no form of deferred compensation exists, please input N/A for this question.
