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Software Engineer – AI Agents
Summary by AIEngineer.careers
Software Engineer – AI Agents is a AI Agent Engineer role (full-time). with SurveyMonkey. in REMOTE, WORLDWIDE. Compensation shown: $200K–$320K. Imported listing (source: remoteforge.2kool4u.net). Apply on the employer's site (remoteforge.2kool4u.net).
Imported listing (source: remoteforge.2kool4u.net) · Apply on remoteforge.2kool4u.net
REMOTE · WORLDWIDE
$200K–$320K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from remoteforge.2kool4u.net
SurveyMonkey is hiring a Software Engineer to build AI agent systems and LLM-powered product experiences. The role combines backend engineering with rapid prototyping and production deployment of AI workflows, including intelligent data agents and analytics-driven automation. Candidates should have strong TypeScript and system architecture skills, plus experience applying LLMs to real-world customer problems. This is a full-time remote role with preference for San Francisco Bay Area candidates.
Responsibilities
- Rapidly prototype AI-powered product concepts and proof-of-concept solutions
- Design and build production-ready LLM pipelines and AI agent systems
- Develop AI-driven applications that leverage customer and marketing data for insights and automation
- Build intelligent data agents that answer analytics and business intelligence questions
- Evaluate and recommend AI architectures, models, and frameworks based on scalability and product needs
- Collaborate with product and engineering leadership to launch new product initiatives
Requirements
- 4–12 years of professional software engineering experience
- Strong backend engineering and system architecture experience
- Strong proficiency in TypeScript and modern software development practices
S
SurveyMonkey
San Mateo · US · 874+ employees
SurveyMonkey is a leading global survey platform that helps organizations and individuals uncover insights by collecting and analyzing feedback. It provides tools for creating surveys, capturing responses, and generating actionable data for product development, marketing, and workforce engagement.
