Joseph Zhang
@josephzhang3
Staff Full Stack AI Engineer building reliable AI-enabled platforms that streamline operations and data workflows.
What I'm looking for
I’m a Staff Full Stack AI Engineer with 10+ years designing and delivering production AI-enabled platforms, data-heavy web applications, backend services, and cloud systems. I own work from ambiguous business problems through architecture, implementation, rollout, monitoring, and stakeholder communication.
At Esperanto Commerce, I lead modernization of a multi-tenant commerce and analytics platform and an order management + marketplace integration platform. I replaced tightly coupled legacy logic by architecting a modular .NET 8 service layer, reducing average API response time by roughly 35%, while building secure APIs, dashboards, caching/retry strategies, and production support workflows.
I also deliver real-world AI with grounded LLM/RAG systems and operational tooling—using contextual retrieval, structured prompts, embeddings, vector search, and audit-logged investigation workflows. Previously at Quantiphi and Microsoft, I built RAG and semantic search experiences, added quality monitoring with runbooks and validation rules, improved release quality with testing/CI/CD, and mentored engineers on clean boundaries and trustworthy AI/data practices.
Experience
Work history, roles, and key accomplishments
Staff Software Engineer
Esperanto Commerce
Jun 2024 - Present (2 years)
Led modernization of a multi-tenant commerce and analytics platform, owning full-stack delivery from React/TypeScript UI through API services, PostgreSQL data models, and AWS infrastructure. Architected a modular .NET 8 service layer that reduced average API response time by ~35% and implemented secure, versioned endpoints with observability and production support.
Senior Software Engineer
Quantiphi
Jul 2021 - May 2024 (2 years 10 months)
Delivered AI-enabled platforms across UI, backend, and data pipelines, building production RAG and semantic search with grounding and source references. Developed ingestion and orchestration services, annotation/review workflows, and quality monitoring to improve reliability of AI and data outcomes.
Built and maintained production full-stack applications and enterprise services using C#/.NET and React, modernizing APIs, validation, telemetry, and operational tools. Designed AWS serverless workflows and optimized SQL Server performance while improving CI/CD coverage and incident response through monitoring and root-cause analysis.
Education
Degrees, certifications, and relevant coursework
Washington University in St. Louis
Master's Degree in Computer Science, Computer Science
2012 - 2016
Completed a Master's Degree in Computer Science at Washington University in St. Louis from 2012 to 2016.
Tech stack
Software and tools used professionally
Kubernetes
NumPy
Pandas
MySQL
PostgreSQL
MongoDB
Gmail
Rollout
Node.js
Django
Spring Boot
.NET Core
Next.js
.NET
ASP.NET Core
Redis
Terraform
Azure DevOps
JavaScript
Java
ASP.NET
scikit-learn
Kafka
FastAPI
GraphQL
OData
gRPC
Elasticsearch
OpenSearch
AWS Lambda
Serverless
React Testing Library
Root Cause
SQL
XGBoost
LangChain
vLLM
ONNX Runtime
LangGraph
Increase
Stack AI
Remote
Safe
Jan
Movement
Availability
Location
Authorized to work in
Job categories
Skills
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