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I'm Steven Rohr, a lead software engineer specializing in production-grade Generative AI systems—autonomous agents, RAG, and LLM tool/function calling—built in Python and deployed on cloud-native stacks with Docker/Kubernetes and CI/CD. I have a track record of designing enterprise integrations, evaluation guardrails, and observability to ship reliable AI capabilities (summarization, knowledge assistants, workflow automation) with measurable reductions in manual effort and faster decision cycles. I'm known for driving cross-functional delivery, mentoring engineers, and translating ambiguous AI opportunities into secure, maintainable platforms.…I'm Steven Rohr, a lead software engineer specializing in production-grade Generative AI systems—autonomous agents, RAG, and LLM tool/function calling—built in Python and deployed on cloud-native stacks with Docker/Kubernetes and CI/CD. I have a track record of designing enterprise integrations, evaluation guardrails, and observability to ship reliable AI capabilities (summarization, knowledge assistants, workflow automation) with measurable reductions in manual effort and faster decision cycles. I'm known for driving cross-functional delivery, mentoring engineers, and translating ambiguous AI opportunities into secure, maintainable platforms.

Steven Rohr

Web Developer, Programmer, Front-End Developer, +4

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I'm Steven Rohr, a lead software engineer specializing in production-grade Generative AI systems—autonomous agents, RAG, and LLM tool/function calling—built in Python and deployed on cloud-native stacks with Docker/Kubernetes and CI/CD. I have a track record of designing enterprise integrations, evaluation guardrails, and observability to ship reliable AI capabilities (summarization, knowledge assistants, workflow automation) with measurable reductions in manual effort and faster decision cycles. I'm known for driving cross-functional delivery, mentoring engineers, and translating ambiguous AI opportunities into secure, maintainable platforms.…I'm Steven Rohr, a lead software engineer specializing in production-grade Generative AI systems—autonomous agents, RAG, and LLM tool/function calling—built in Python and deployed on cloud-native stacks with Docker/Kubernetes and CI/CD. I have a track record of designing enterprise integrations, evaluation guardrails, and observability to ship reliable AI capabilities (summarization, knowledge assistants, workflow automation) with measurable reductions in manual effort and faster decision cycles. I'm known for driving cross-functional delivery, mentoring engineers, and translating ambiguous AI opportunities into secure, maintainable platforms.

Available to hire

I’m Steven Rohr, a lead software engineer specializing in production-grade Generative AI systems—autonomous agents, RAG, and LLM tool/function calling—built in Python and deployed on cloud-native stacks with Docker/Kubernetes and CI/CD. I have a track record of designing enterprise integrations, evaluation guardrails, and observability to ship reliable AI capabilities (summarization, knowledge assistants, workflow automation) with measurable reductions in manual effort and faster decision cycles.

I’m known for driving cross-functional delivery, mentoring engineers, and translating ambiguous AI opportunities into secure, maintainable platforms.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Lead Software Engineer at Slalom

January 1, 2023 - January 1, 2026

Led end-to-end delivery of multiple client web apps (healthcare + fintech) using React/TypeScript frontends and Node.js/Python services, improving feature throughput by ~30% through clearer domain boundaries and shared UI/service patterns. Architected RESTful APIs and service contracts (OpenAPI) with PostgreSQL data models and caching via Redis, reducing p95 API latency by ~35% for high-traffic workflows. Owned system design for a multi-tenant platform slice (auth, billing, audit logging) with security-first controls (least privilege, secrets management, input validation), cutting security review findings by ~40%. Built a remote-friendly delivery cadence (RFCs, async design reviews, release checklists) and partnered directly with client stakeholders to refine requirements, reducing rework by ~25% and improving on-time delivery. Implemented CI/CD with GitHub Actions and containerized deployments via Docker (and Kubernetes where applicable), increasing deployment frequency ~2x while impr

Senior Software Engineer at Deloitte

September 1, 2018 - January 1, 2023

Delivered full-stack enterprise web capabilities using React and Angular with Node.js and Python backends, translating stakeholder requirements into shippable increments across distributed teams. Designed and implemented REST APIs and integration layers for third-party systems, improving data consistency and reducing integration defects by ~25% through contract testing and versioned endpoints. Modernized legacy services by decomposing critical workflows into smaller services and optimizing PostgreSQL/MySQL queries, reducing batch/job runtimes by ~30% and improving user-facing responsiveness. Established code quality practices (PR templates, review standards, linting, unit/integration tests) and increased automated test coverage to ~70% on key modules, improving release confidence. Implemented performance and reliability improvements (timeouts, retries, idempotency, caching) in Node.js services, reducing error rates by ~20% during peak usage. Partnered with product, design, and client l

Software Engineer II at Redfin

July 1, 2015 - August 1, 2018

Built and iterated on customer-facing web features using JavaScript and React, improving page-level performance by ~20% through rendering and bundle optimizations. Implemented backend endpoints and supporting data access patterns for web experiences, improving reliability via better validation, error handling, and pragmatic caching. Collaborated with product and design to deliver UX improvements and instrumentation, enabling faster iteration and clearer measurement of feature impact. Improved developer workflow with build/test automation and stronger code review practices, reducing cycle time for small changes and bug fixes.