2 часа назад
Software Development Engineer (AI)
115 119 - 148 350$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Development Engineer (AI) (Python/FastAPI/LangChain/TypeScript/React): Building and maintaining production LLM agent pipelines, MCP integrations, and retrieval-augmented generation systems for institutional investors with an accent on applied AI engineering, scalability, reliability, and security. Focus on designing agentic workflows, using Claude Code for daily development, translating ambiguous requirements into production-ready software, and solving complex system issues.
Location: Office in Seattle; hybrid and remote options are available
Salary: $115,119.60–$148,350.00 per year, plus performance-based bonus
Company
builds software and production AI systems for institutional investors globally.
What you will do
- Build and maintain production LLM agent pipelines, MCP integrations, and retrieval-augmented generation systems.
- Develop AI-powered applications with Python, FastAPI, LangChain, TypeScript, and React.
- Use Claude Code and other AI-assisted development tools for code generation, debugging, and iteration.
- Optimize applications for scalability, reliability, and security while performing root-cause analysis.
- Translate loosely defined requirements into production-ready code and contribute to user stories, estimates, and architecture improvements.
- Participate in code reviews, documentation, and broad unit and integration testing.
Requirements
- Fluency with AI-assisted development tools, specifically Claude Code, as a daily engineering practice.
- Production experience with LLM agent tools, agentic workflows, MCP integrations, or RAG systems.
- Production proficiency in Python 3.11 with FastAPI and LangChain, plus TypeScript and React; Java-only backgrounds are not a fit.
- At least 3 years of production software development experience and at least 1 year working hands-on with LLM, agentic, or AI/ML systems.
- Bachelor’s degree in Computer Science or a related field.
- Strong data structures, algorithms, object-oriented design, communication, analytical, problem-solving, and documentation skills.
Culture & Benefits
- Flexible hybrid and remote work arrangements.
- Access to cutting-edge AI tools and infrastructure for daily work.
- Collaborative, high-trust engineering culture focused on craft, speed, and continuous learning.
- Health, dental, and vision insurance, 401(k), PTO, parental and medical leave, and short- and long-term disability insurance.
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