Artificial Intelligence
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Associate AI EngineerAs Associate AI Engineer at iCapital you will help build and scale production-grade AI systems that drive tangible business outcomes. You'll work on the AI/ML team with mentorship from senior engineers and cross-functional partners to design, implement, and operate AI capabilities as APIs and services in a real-world FinTech setting. You will tackle ambiguous problems with data-driven, measurable approaches and contribute to robust, maintainable systems. This role offers a hands-on path to shape AI capabilities that impact workflows and automation at scale.
Compensation / Benefitssalary range $100,000-$130,000equity for all full-time employeesannual performance bonusemployer-matched retirement plancomprehensive health benefits (medical, dental, vision, telemedicine, mental health)unlimited PTOResponsibilitiesDesign and implement modular AI capabilities (LLM-based reasoning, document intelligence/OCR-IDP, intelligent knowledge systems, agentic orchestration) to power internal and external workflow automationOwn components of the full AI system life cycle: scoping, PoC, solution design, model development, deployment, monitoring, and continuous improvement in productionBuild robust evaluation pipelines with problem-specific metrics, curate benchmark datasets, and enforce dataset/model versioning for reproducibilityCollaborate across teams and communicate results via documentation, write-ups, and handoffsKey Requirements2-3 years of relevant experience with production AI/ML systems, including AWS or cloud-native development patterns and familiarity with AI development lifecycle best practicesStrong proficiency in PythonSolid fundamentals in statistics and exploratory data analysis; ability to reason about data quality, experiments, and error patternsClear written and verbal communication; ability to document work and collaborate in a teamExperience with modern LLM tooling (e.g., transformers, unsloth, vLLM) or document AI approaches (IDP)Familiar with software development best practices (source control, CI/CD, testing, documentation) and full development lifecycleExperience with agentic communication protocols (MCP, A2A) is a plus
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