Senior Fullstack AI Engineer (React, Python)

TeamViewer US, Inc.
Austin, TX, United States
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Languages
English

Tech stack

Artificial Intelligence Audit Trail Information Leak Prevention Python (Programming Language) OAuth Systems Integration TeamViewer TypeScript ReactJS Rate Limiting Event Driven Architecture Front End Software Development
+1 more
Automation Anywhere

Job description

Experteer Overview In this role you will help build TeamViewer’s agentic ecosystem and the core AI-powered platform capabilities. You’ll design and operate enterprise-grade AI systems, ensure secure, scalable, and auditable agent interactions, and drive reliable AI workflows. You will collaborate across cross-functional teams to deliver production-grade tools, evaluation frameworks, and guardrails that empower AI agents to act safely in real-world software. This is a chance to shape the future of intelligent digital work at scale. Compensation / Benefits * Build services behind the agentic ecosystem, including MCP servers/clients, tool integrations, context assembly, orchestration, and external connections * Design and operate enterprise-grade AI systems with authentication, tenancy isolation, auditability, rate limiting, and cost controls * Create agent-friendly interfaces, schemas, and workflows; validate effectiveness through evaluation * Build and maintain evaluation frameworks for prompts, tools, models, and retrieval strategies * Engineer production AI workflows with telemetry, monitoring, cost management, latency tracking, and quality drift detection * Implement safeguards against prompt injection and tool misuse in collaboration with security stakeholders * Work across full stack: Python services and frontend experiences to bring AI to end users * Use AI coding agents as a core development mechanism and improve context, tooling, and engineering practices Tasks * 8+ years of production software experience with Python * Strong TypeScript experience across the stack * Hands-on experience with model-based or agentic systems, including tool calling, structured outputs, retrieval, context management, and orchestration * Solid understanding of MCP or similar agent-tool protocols; multi-tenant environments * Ability to define quality criteria, build evaluation frameworks, interpret results, and improve AI systems * Knowledge of OAuth, service identities, event-driven architectures, and enterprise SaaS platforms * Experience with AI coding agents and ensuring software correctness, security, and maintainability * Understanding of AI security risks (prompt injection, tool abuse, data leakage) and failure modes (hallucinations, non-determinism) * Excellent English communication and collaboration across distributed teams Key requirements * competitive compensation and bonuses * flexible PTO and paid holidays * 401(k) with employer matching * comprehensive health insurance including 100% employer-paid medical * up to 12 weeks parental leave * life and disability insurance

Requirements

prompts, tools, models, and retrieval strategies * Engineer production AI workflows with telemetry, monitoring, cost management, latency tracking, and quality drift detection * Implement safeguards against prompt injection and tool misuse in collaboration with security stakeholders * Work across full stack: Python services and frontend experiences to bring AI to end users * Use AI coding agents as a core development mechanism and improve context, tooling, and engineering practices Tasks * 8+ years of production software experience with Python * Strong TypeScript experience across the stack * Hands-on experience with model-based or agentic systems, including tool calling, structured outputs, retrieval, context management, and orchestration * Solid understanding of MCP or similar agent-tool protocols; multi-tenant environments * Ability to define quality criteria, build evaluation frameworks, interpret results, and improve AI systems * Knowledge of OAuth, service identities, event-driven a integrations, and enterprise SaaS platforms * Experience with AI coding agents and ensuring software correctness, security, and maintainability * Understanding of AI security risks (prompt injection, tool abuse, data leakage) and failure modes (hallucinations, non-determinism) * Excellent English communication and collaboration across distributed teams Key requirements * competitive compensation and bonuses * flexible PTO and paid holidays * 401(k) with employer matching * comprehensive health insurance including 100% employer-paid medical * up to 12 weeks parental leave * life and disability insurance

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