Addepar is seeking to integrate AI across its product suite to empower smarter investment decisions for clients managing over $8 trillion in assets. The company aims to build a scalable AI platform to support production AI capabilities and products, including agents and advanced systems.
Requirements
- Extensive experience as a Software/Backend Engineer, with a track record of taking on increasing responsibility.
- Experience across the full product lifecycle: designing, implementing, shipping, scaling, operationalizing, and maintaining technology/SaaS products.
- Exceptional Programming skills and fundamentals in Python/Go/Java, with a proven track record of building large scale production systems.
- Proficient experience with diverse compute environments including microservices (K8s), Databricks and serverless architectures (e.g. AWS Lambda).
- Demonstrable experience leading initiatives with infrastructure-as-code tools such as Terraform in complex, multi-account environments.
- Proficient experience with comprehensive monitoring and alerting stacks (e.g. Prometheus/Grafana/Sentry/cloud-native tools), with a focus on observability strategy.
- Extensive experience with Databricks (Unity Catalog, Model Serving, Jobs).
Responsibilities
- Design and build the production runtime for LLM-based agents and products, creating the services and infrastructure that serve autonomous agents.
- Develop deep application-level knowledge to proactively inform and influence requirements, constraints and best practices for implementing composable, complex AI systems.
- Lead the design, implementation, and automation of production infrastructure on a variety of cloud environments (Kubernetes/Databricks), to enable us to ship and scale AI features instantly.
- Evangelize and promote disciplined, best engineering practices to enforce strong production hygiene and culture.
- Initiate and lead collaborations with cross-functional teams to identify and resolve complex application or infrastructure issues, serving as a technical subject matter expert.
- Architect, build, and maintain advanced, automated CI/CD pipelines e.g. using Jenkins, ArgoCD, AWS CodeBuild/Pipeline, GitHub Actions, or similar, establishing best practices for deployment strategies (e.g., blue/green, canary).
- Develop systems and best practices monitoring, alerting, and troubleshooting of our probabilistic and AI-driven systems and broader software stack.
Other
- Excellent interpersonal and communication skills to effectively collaborate with multi-functional teams, articulate complex technical concepts, and influence outcomes.
- Applicants must have legal authorization to work in the country where this role is based on the first day of employment.
- Visa sponsorship is not available for this position.
- Demonstrable experience writing and contributing to significant systems automation tooling or open-source projects is a strong plus.
- Specific experience with LLMs and agentic systems and associated technologies such as Langchain, Vector DBs, or MLFlow.
