Artificial Intelligence Engineer - Associate

ICAPITAL LLC
Greenwich, CT, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$100,000.0 - $140,000.0
Working hours
Shift work
Job source

Tech stack

Artificial Intelligence Amazon Web Services Data Analysis Cloud Computing Communications Protocols Continuous Integration Python (Programming Language) Knowledge-Based Systems Systems Development Life Cycle Web Services Software Organization Large Language Models
+2 more
Machine Learning Operations Software Version Control

Job description

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., * 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.

Requirements

Do you have experience in Version control?, * 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 & conditions

3.33.3 out of 5 stars 2 Greenwich Plz 4th FL, Greenwich, CT 06830 $100,000 - $140,000 a year - Full-time, Pulled from the full job description

  • Parental leave
  • Retirement plan
  • Paid time off
  • Vision insurance
  • Dental insurance
  • Unlimited paid time off, The base salary range for this role is $100,000 to $140,000 depending on experience. 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.

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