Senior Fullstack AI Engineer (React, Python)

About the role

TeamViewer’s Agentic Ecosystem team is building the foundation for AI-native enterprise software. We create platform capabilities that allow AI agents to understand context, discover tools, invoke capabilities, and execute governed actions across TeamViewer products and connected third-party systems. The work sits at the core of agentic experiences: MCP servers and clients, tool catalogs, context assembly, orchestration, evaluation, observability, secure integration patterns, and production-grade guardrails. The goal is to make agent behavior reliable, measurable, auditable, cost-aware, and safe for enterprise use.

You will help define how autonomous agents become trusted components of real-world software, not experiments or demos. This means combining strong engineering standards, AI-native development practices, human accountability, and customer trust.

Responsibilities

• Build the services behind TeamViewer's agentic ecosystem, including MCP servers and clients, tool integrations, context assembly, orchestration, and connections to external agent frameworks.
• Design and operate enterprise-grade AI systems with authentication, authorization, tenancy isolation, auditability, rate limiting, and cost controls.
• Create agent-friendly tool interfaces, schemas, and workflows, and validate their effectiveness through systematic evaluation.
• Build and maintain evaluation frameworks that assess prompts, tools, models, and retrieval strategies, using quality gates to support release decisions.
• Engineer and optimize production AI workflows with telemetry, monitoring, cost management, latency tracking, and quality drift detection.
• Implement safeguards against prompt injection, tool misuse, and other AI-specific security risks in collaboration with security stakeholders.
• Work across the full stack, building Python services and partnering on frontend experiences that bring AI capabilities to end users.
• Use AI coding agents as a core development mechanism and continuously improve the context, tooling, and engineering practices that enable them to perform effectively.

Requirements

• 8+ years of experience building production software with Python, combined with sufficient TypeScript expertise to contribute across the stack.
• Hands-on experience delivering model-based or agentic systems, including tool calling, structured outputs, retrieval, context management, and orchestration.
• Strong understanding of MCP or comparable agent-tool protocols, including the challenges of authorization, discovery, versioning, and multi-tenant environments.
• Proven ability to define quality criteria, build evaluation frameworks, interpret results, and continuously improve AI systems based on evaluation outcomes.
• Solid working knowledge of OAuth, service identities, event-driven architectures, and enterprise SaaS platforms.
• Regular use of AI coding agents, paired with a critical review mindset and accountability for software correctness, security, and maintainability.
• Deep understanding of AI-specific security risks, including prompt injection, tool abuse, excessive permissions, and data leakage through model context.
• Familiarity with common AI system failure modes such as hallucinations, context degradation, non-determinism, and silent regressions, along with effective mitigation strategies.
• Excellent English communication skills and the ability to collaborate effectively across globally distributed engineering teams.

Benefits

• Competitive compensation and bonuses
• Flexible PTO and paid holidays
• 401(k) with employer matching
• Comprehensive health insurance package including 100% employer-paid medical coverage
• Up to 12 weeks of Parental Leave
• Basic Life Insurance, Short-Term & Long-Term Disability, 100% employer-paid
• Quarterly teambuilding events, leadership luncheons, and companywide “All Hands” meetings
• Open door policy and business casual dress code

Work location for this position is Austin, TX.