20 hours ago
Base Salary
$120k - $170k/yr
Responsibilities
- Design and deliver production AI systems involving document intelligence, intelligent knowledge systems, agentic orchestration, conversational AI, and generative AI applications.
- Own AI projects end to end from scoping and stakeholder alignment through design, implementation, deployment, monitoring, evaluation, and continuous improvement.
- Contribute to API design, system decomposition, evaluation strategy, infrastructure patterns, and AI/ML platform engineering standards.
- Develop evaluation frameworks, benchmark datasets, performance metrics, and versioning practices for reliable and reproducible AI systems.
- Partner with Product, Operations, Legal, and Business stakeholders to identify opportunities, translate requirements, and communicate technical tradeoffs.
- Mentor junior engineers through code reviews, design reviews, pair problem-solving, and knowledge sharing.
- Improve team processes, tooling, and infrastructure to reduce technical debt and increase development velocity.
Requirements
- At least 5 years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms.
- Strong proficiency in Python and software engineering practices, including source control, testing, documentation, and scalable software development.
- Hands-on experience building LLM applications, AI agents, retrieval-augmented generation, conversational AI, document intelligence, and agentic workflows.
- Experience designing, deploying, and operating machine learning pipelines covering training, deployment, monitoring, evaluation, and continuous improvement.
- Strong knowledge of statistics, experimentation, data quality, benchmarks, performance metrics, error analysis, and AI system optimization.
- Experience contributing to technical architecture and design discussions, conducting code and design reviews, and mentoring engineers.
- Excellent written and verbal communication skills for documenting solutions and explaining complex concepts to technical and non-technical audiences.
- Financial services or FinTech experience in document-heavy, regulated, or compliance-sensitive environments is preferred.
- Open-source contributions, technical publications, conference presentations, patents, or other applied-AI and machine-learning thought leadership are preferred.
Benefits
- Base salary range of $120,000 to $170,000, plus equity for full-time employees and an annual performance bonus.
- Employer-matched retirement plan and subsidized healthcare, including 100% employer-paid dental, vision, telemedicine, and virtual mental health counseling.
- Parental leave and unlimited paid time off.
- Hybrid schedule requiring office work Monday through Thursday, with remote flexibility on Friday.
Categories
About iCapital
iCapital builds a technology platform that lets wealth managers and asset managers offer, transact, and service alternative investments and structured solutions for private clients. The company earns software, data, and administration fees across marketplace access, enterprise integrations, and fund servicing. Founded in 2013 and headquartered in New York, it reports $1.2 trillion of assets serviced globally and serves nearly 3,900 wealth management firms and 144,000 active financial professionals.