Addepar
AI Engineer - AI Platform
$163K–$204K
New York, NY +1 · Remote · Full-time · Posted Oct 27, 2026
- Location
- New York, NY
Remote - United States - Experience
- 1-3+ years of professional backend software engineering experience.
- Education
- BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience.
- Visa sponsorship
- Must be legally authorized to work in the United States for any employer without current or future visa sponsorship, and authorized to begin work in the U.S. on the first day.
About the job
Designs, builds, evaluates, and productionizes AI-native products and core AI platform capabilities for investment and client workflows.
What you'll do
- Build AI-native products from prototypes through scalable production services, including LLM and agent capabilities.
- Evaluate and adopt AI technologies, iterating on products using performance metrics and user feedback.
- Collaborate with product and engineering teams to turn strategic goals into technical solutions.
What they ask for
- Backend software engineering experience with expertise in technologies such as Python, Golang, gRPC, AWS, and Kubernetes.
- Strong foundation in building and scaling backend services, including microservices, APIs, and concurrency.
- Experience shipping and maintaining AI-native products or features, or significant personal AI projects.
- BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience.
Nice to have
- Specific experience with LLMs and agentic systems; hands-on experience with Databricks, Langchain, or MLFlow.
- Advanced understanding of probabilistic systems behind LLMs or experience building AI products in accuracy-sensitive domains such as finance.
Pay
$163,000 — $203,500 USD (base salary)
Tools
Python, Golang, gRPC, AWS, Kubernetes, LLMs, Databricks, Langchain
AI focus
Build and productionize AI-native products and platform capabilities using LLMs, agentic frameworks, and agent tools such as MCP, web browsing, and computer use.
Model-written summary · the original posting is authoritative