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Senior Fullstack AI Engineer, React, Python

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austin, tx • Posted Today
Onsite Full Time IT & Technology


  • Build services behind TeamViewer's agentic ecosystem, including MCP servers and clients, tool integrations, context assembly, orchestration, and external agent-framework connections

  • 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 effectiveness through systematic evaluation

  • Build and maintain evaluation frameworks for prompts, tools, models, and retrieval strategies, using quality gates for 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 with security stakeholders

  • Work across the full stack by building Python services and partnering on frontend experiences

  • Use AI coding agents as a core development mechanism and improve the context, tooling, and engineering practices supporting them


Requirements



  • 8+ years of experience building production software with Python

  • 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 authorization, discovery, versioning, and multi-tenant environments

  • Ability to define quality criteria, build evaluation frameworks, interpret results, and improve AI systems based on evaluation outcomes

  • Working knowledge of OAuth, service identities, event-driven architectures, and enterprise SaaS platforms

  • Regular use of AI coding agents, with critical review and accountability for 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 AI system failure modes such as hallucinations, context degradation, non-determinism, and silent regressions, plus mitigation strategies

  • Excellent English communication skills and ability to collaborate across globally distributed engineering teams


Core Competencies


Demonstrates extensive experience in building production software with Python and TypeScript, focusing on AI systems and agentic frameworks. Proficient in implementing security measures and evaluation frameworks to enhance AI system performance and reliability.


Highest-signal resume keywords



  • Python Software Development

  • TypeScript Expertise

  • AI System Evaluation Frameworks

  • MCP Protocols Understanding

  • AI-Specific Security Risk Management


ATS Optimization Keywords


Hard Skills



  • Production Software Development

  • Model-Based Systems Delivery

  • Tool Calling

  • Context Management

  • Orchestration

  • Quality Criteria Definition

  • AI Coding Agents

  • Telemetry and Monitoring

  • Cost Management

  • Latency Tracking


Soft Skills



  • Excellent English Communication

  • Collaboration Across Teams


Industry Keywords



  • Agent-Tool Protocols

  • Multi-Tenant Environments

  • AI-Specific Security Risks

  • Context Degradation

  • Non-Determinism


Tools & Technologies



  • OAuth

  • Event-Driven Architectures

  • Enterprise SaaS Platforms

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