iCapital is seeking to build and scale AI capabilities across its platform, focusing on production-grade systems that go beyond traditional ML models to reason, plan, and act in dynamic environments using tools, APIs, and memory.
Requirements
- 8+ years of experience in software engineering, with at least 2+ years focused on AI/ML systems
- Proven experience in building and deploying ML models in production environments
- Hands-on experience with AI agent frameworks (e.g., LangChain, Semantic Kernel, AutoGen, or custom-built systems)
- Strong understanding of the ML lifecycle, including data pipelines, model training, evaluation, deployment, and monitoring
- Familiar with MLOps tools such as MLflow, Kubeflow, or SageMaker
- Deep understanding of LLM orchestration, prompt engineering, tool use, and memory architectures
- Familiar with various LLM inference engines such as vLLM or SGLang
Responsibilities
- Design, build, and optimize scalable AI/ML infrastructure and services powering intelligent features across our platform.
- Lead the development of AI agents capable of autonomous decision-making, task execution, and multi-step reasoning across internal and customer-facing applications.
- Architect and implement modular agent frameworks by integrating tools, APIs, and memory systems for dynamic and context-aware behavior.
- Collaborate with product, data, and infrastructure teams to embed AI capabilities into production systems.
- Drive the architecture and development of ML pipelines, model serving frameworks, and real-time inference systems.
- Evaluate and integrate state-of-the-art AI tools and frameworks to accelerate development and deployment.
- Provide technical mentorship and guidance to engineers, contributing to team growth and best practices.
Other
- This individual will play a key role in building and scaling AI capabilities across our platform, with a focus on production-grade systems rather than data science.
- While this is primarily a hands-on engineering position, this role will also provide technical leadership, mentor junior engineers, and collaborate cross-functionally to shape our AI strategy and execution.
- Demonstrated ability to lead projects or small teams, with excellent communication and collaboration skills
- Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
