Staff Software Engineer I
$118,400–$118,400 year
HybridEagan, Minnesota, United States
Job Summary
Design and implement full-stack features across frontend and backend systems using React, TypeScript, and Python, including direct contribution to AI-powered capabilities like agentic workflows and LLM integrations. Establish technical standards for code quality, performance, and accessibility through hands-on development and code reviews. Partner with product, design, and engineering teams to define APIs and deliver cohesive user experiences while breaking down complex initiatives and providing reliable estimates. Mentor engineers through pairing and ongoing technical guidance to support growth. This role requires 6+ years of professional software engineering experience with a focus on modern frontend frameworks and GenAI concepts. The position offers a hybrid work model, flexible vacation, mental health days, and tuition reimbursement.
Required Qualifications
- 6+ years of professional software engineering experience building and shipping production web applications used by real customers
- active, hands-on coding contributions in the last 2–3 years
- Strong experience with modern frontend frameworks such as React
- solid understanding of TypeScript and frontend architecture
- Hands-on experience building APIs and services with Python as a core language
- working knowledge of Node.js
- working familiarity with GenAI concepts including prompt engineering, agentic system design, LLM orchestration frameworks, and Model Context Protocol (MCP)
- Proven ability to lead through influence rather than authority, improving systems, reducing technical debt, and guiding architectural decisions
- Comfortable operating in fast-paced, ambiguous environments
- strong communication skills
- collaborative mindset
Desired Qualifications
- BA or BS in Computer Science or equivalent practical experience
- Experience with performance optimization for web applications, including monitoring, profiling, and tuning for scale
- Hands-on experience building AI-powered product features, including working with LLM APIs, RAG pipelines, or agentic workflows in a production environment
- Familiarity with AI/ML infrastructure including vector databases, model serving, and cost/latency optimization for LLM-powered features
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.