Open to opportunities

Nissim Steinberg

@nissimsteinberg

Message

AI/ML-focused full-stack engineer building reliable production systems.

United States

Message

What I'm looking for

I seek roles where I can productionize ML/LLM systems, improve reliability at scale, mentor teams, and work in secure, observability-first environments that accelerate iteration and impact.

I am an AI/ML-focused full-stack engineer with deep experience productionizing research, building LLM-powered agent workflows, and delivering resilient backend services for high-stakes domains.

At Factory I designed and shipped agentic LLM workflows, implemented multi-provider model strategies, built evaluation loops and telemetry-driven error analysis, and productionized retrieval, structured outputs, and tool orchestration to improve reliability and reduce partial failures.

Previously I modernized clinical workflows at Rad AI with event-driven microservices, RAG layers, and secure cloud-native platforms, and earlier built scalable microservices, databases, and infrastructure for web platforms—mentoring engineers and emphasizing observability, security, and operational excellence.

Experience

Work history, roles, and key accomplishments

Current

AI Full-Stack Engineer

Current

Factory

Apr 2023 - Present (2 years 9 months)

Designed and shipped LLM-powered agentic workflows to solve complex developer tasks, benchmarking and optimizing across multiple suites and achieving 63% accuracy on Terminal-Bench 2.0. Productionized research into maintainable services with retrieval, structured outputs, tool orchestration, and reliability improvements (rate-limiting, caching, retries, tracing).

LLM Python Distributed Systems Caching CI CD API Design

Senior Backend Engineer

Rad AI

Dec 2018 - Mar 2023 (4 years 3 months)

Led modernization of a radiology workflow platform, migrating to a Python (Django) backend and React frontend and designing an event-driven microservices/serverless architecture on AWS. Implemented RAG, automated pipelines for extracting/normalizing follow-up recommendations, and productionized the platform with Docker/Kubernetes and security-by-design for PHI.

Python Django React AWS RAG Docker Kubernetes Terraform CI CD PHI Security

Software Developer

Jackson Healthcare

May 2015 - Nov 2018 (3 years 6 months)

Engineered microservices and Next.js frontends to improve scalability and performance, reducing API response times by 40%; developed permission models, managed PostgreSQL tuning, and deployed infrastructure on GCP with Docker. Implemented Elasticsearch, Redis caching, and advanced security protocols to reduce breach risk.