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Addepar · 1 day ago

Software Engineer - AI/ML - AI Platform

NYC Metro Area

Full-time

Hybrid

Entry, Mid Level

$155K/yr - $194K/yr

1+ years exp

Addepar is a global technology and data company that helps investment professionals provide informed guidance for their clients. They are seeking an AI Engineer to design and build AI-native products, working on innovative solutions to transform the wealth technology landscape with AI.

Financial ServicesFinTechSaaSSoftware

Comp. & Benefits

No H1B

Responsibilities

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

Qualification

PythonGolangAWSKubernetesLLMsAgentic frameworksMicroservicesAPIsProactivityLearning mindsetCollaborationOwnership

Required

1-3+ years of professional experience in backend software engineering, with expertise in programming languages/technologies like Python, Golang, gRPC, AWS, and Kubernetes

A strong, systems-level foundation in building and scaling backend services (e.g., understanding microservices, APIs, and concurrency)

Proven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI

A strong bias for action, with a passion for shipping rapidly and iterating with feedback

Passion for proactivity, deep ownership, and a desire to learn and build on the frontier of AI

BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience