AI Engineer (AI Platform)

Addepar, Inc.; New York (NY); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity

Global hybrid workforce

Flexible time off

Medical, dental & vision benefits

Wellness allowance

Learning & development allowance

Dynamic team

Job summary

Addepar, Inc. seeks an AI Engineer to join the AI Platform team. You will design, build, and productionize core AI capabilities powering Addepar's wealth tech platform, leveraging LLMs and agentic frameworks to deliver scalable AI-native products.

This hands-on role requires 1–3+ years of backend experience, strong coding in Python/Go, and a systems-level focus on microservices, APIs, and concurrency. You will own the full lifecycle from prototype to production, collaborating with PMs and other

Qualifications

• 1-3+ years of backend software engineering experience.
• Proficient in Python, Go, gRPC, AWS, and Kubernetes.
• Experience with LLMs and agentic systems required.
• Strong systems-level understanding of microservices, APIs and concurrency.
• Hands-on AI/LLM ecosystem skills (Databricks, LangChain, MLFlow).
• BS/MS in CS, statistics, math or equivalent; or significant AI projects.
• Record of shipping AI-native products in finance or similar domain.

Responsibilities

• Design, build, and productionize core AI capabilities powering the platform.
• Work with LLMs and agentic frameworks to create scalable products.
• Own full lifecycle of AI-native products from prototyping to production.
• Collaborate with product and other eng teams to translate goals into tech.
• Iterate quickly based on performance metrics and user feedback.

Skills

Python

Go

gRPC

AWS

Kubernetes

LLMs

Agentic frameworks

APIs

Concurrency

Microservices

Databricks

LangChain

MLFlow

Education

BS/MS in CS or quantitative field

Tools

Databricks

LangChain

MLFlow

Docker

Job description

• We are currently seeking an AI Engineer to join our AI Platform team
• The AI Platform team is focused on enabling and building disruptive, innovative solutions to transform the wealth technology landscape with AI across our product suite and is growing quickly
• As an AI Engineer, you will be responsible for designing, building, and productionizing the core AI capabilities that power our platform
• This is a hands-on role where you will be on the frontier of applied AI with research and engineering, working directly with LLMs and agentic frameworks to translate cutting-edge concepts into robust, scalable products and capabilities
• You will own the full lifecycle of AI-native products, from prototyping and evaluation to building the scalable backend systems that deliver them to our clients
• Design and build end-to-end AI-native products, from initial prototype all the way to scalable production services
• Develop and productionize core components of our AI platform - including:
• LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.)
• Agentic frameworks
• Core agent capabilities like MCP/ cross-platform tool use, web browsing, computer use
• Rapidly iterate on AI products based on performance metrics and user feedback to drive continuous improvement
• Drive the evaluation and adoption of new AI technologies and frameworks to keep Addepar on the frontier of the industry
• Collaborate with product managers and other engineering teams to translate strategic goals into technical realities, abstracting AI complexity so they can iterate quickly

Benefits

• Equity: Stretch the idea of ownership beyond your day-to-day and take pride in being an owner in the growth of Addepar
• Global Hybrid Workforce: Whether you work remotely or on-site, you'll have the opportunity to build and collaborate with colleagues around the world
• Flexible Time Off: Spend time traveling, celebrating with friends and family or relax on your schedule
• Benefits Packages: Competitive medical, dental and vision benefits along with a monthly wellness allowance to keep you healthy and happy
• Learning & Development Allowance: Your continued growth and development are important to us
• Dynamic Team: Strong investment in the best talent at the intersection of technology and finance

1-3+ years of professional experience in backend software engineering, with expertise in programming languages and technologies such as Python, Go, gRPC, AWS, and Kubernetes Specific experience with LLMs and agentic systems Passion for proactivity, deep ownership, and a desire to learn and build on the frontier of AI A strong systems-level foundation in building and scaling backend services, including an understanding of microservices, APIs, and concurrency Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow A strong bias for action, with a passion for shipping rapidly and iterating with feedback An advanced understanding of the probabilistic systems underpinning modern LLMs A BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience Experience building AI products in highly accuracy-sensitive domains such as finance Proven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI