Overview
As a Senior AI Engineer at Addepar, you architect and deliver AI-native capabilities for our platform, turning prototypes into scalable production services. You’ll own end-to-end AI components, including LLMs, agentic frameworks, and cross-platform tools, ensuring robust, high-performance systems. You’ll partner with product teams to translate strategy into tangible tech solutions, driving rapid delivery and continuous improvement. This is a high-impact, frontier-AI role in a fast-growing wealth tech company.
Responsibilities
- Drive end-to-end execution of AI-native products from prototype to production
- Architect and productionize core AI components (LLMs, vector DBs, prompt tuning)
- Develop agentic frameworks and core agent capabilities (MCP/cross-platform tool use, web browsing, computer use)
- Enforce technical discipline and operational excellence across AI offerings
- Iterate rapidly on AI products based on performance metrics and user feedback
- Evaluate and adopt new AI tech to stay at the industry frontier
- Collaborate with product managers and other engineering teams to translate strategy into technical solutions
Key requirements
- Extensive backend software engineering experience
- Proficiency in Python, Golang, gRPC, AWS, and Kubernetes
- Proven track record shipping production-grade systems
- Experience shipping or building AI-native products or strong personal AI projects
- BS/MS in Computer Science, Statistics, Mathematics, or equivalent experience
- (Preferred) Experience with LLMs and agentic systems
- (Preferred) Hands-on with Databricks, Langchain, MLFlow
- (Preferred) Understanding of probabilistic systems underpinning modern LLMs
- (Preferred) AI product experience in finance is a plus
- Ownership mindset
- Bias for action and rapid delivery
- Collaborative, cross-functional teamwork
- Python
- Golang
- gRPC
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