Senior Fullstack AI Engineer, React, Java

TeamViewer

Senior Fullstack AI Engineer building secure Java and React AI workplace tools for TeamViewer. Developing TeamViewer Tia services, integrations, evaluations, and safety mechanisms for digital workplaces.

Posted 8/7/2026full-timeAustin • Texas • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong Java expertise and extensive experience in building scalable backend systems, with a focus on clean code, object-oriented design, and automated testing strategies. Capable of mentoring engineers and optimizing AI-native engineering practices while ensuring code quality and security.

Highest-signal resume keywords

Java ExpertiseDistributed Backend Systems DesignAutomated Testing StrategiesAI System Failure MitigationMentoring Engineers

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaSoftware DevelopmentObject-Oriented DesignAutomated TestingBackend Services OptimizationModel-Based IntegrationAgentic CapabilitiesClean Code PracticesScalable Systems DesignAI Coding Agents

Soft Skills

Excellent CommunicationStructured Working StyleAnalytical ThinkingCollaboration

Industry Keywords

AI-Native EngineeringContext Assets ManagementLatency OptimizationStreamingTool CallingPrompt InjectionNon-DeterminismSilent Regressions

Tech Stack

Tools & technologies

Java

About the role

Key responsibilities & impact

Build Java backend services powering TeamViewer Tia for end users, from feature APIs to integration points with the wider platform
Design components where model-driven behavior meets deterministic business logic, keeping boundaries explicit, testable, and reliable
Use AI coding agents to deliver at pace while owning architecture decisions, code quality, security, and maintainability
Build automated test and evaluation coverage for safely merging generated changes without regressions
Optimize backend services for conversational and agentic product needs, including latency, cost, caching, streaming, and batching
Maintain shared context assets such as agent instructions, tool definitions, prompt templates, and domain documentation
Mentor engineers on agent-assisted development and raise team standards for safe, effective AI-native engineering

Requirements

What you’ll need

5+ years of professional software development experience
Strong Java expertise and solid software engineering fundamentals
Experience designing and building distributed, scalable backend systems
Strong focus on clean code and object-oriented design
Hands-on experience integrating model-based or agentic capabilities into backend services, including streaming, tool calling, and structured outputs
Regular use of AI coding agents with critical review and accountability for correctness, security, and maintainability
Ability to design and implement automated testing strategies for high volumes of generated code and regression prevention
Strong understanding of AI system failure modes, including hallucinations, context degradation, prompt injection, non-determinism, and silent regressions
Effective mitigation approaches for AI system failure modes
Structured and analytical working style
Excellent communication skills
Fluency in English
Ability to collaborate effectively with teams across EMEA

Benefits

Comp & perks

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
Inclusive, diverse workplace culture
Support for accommodations or adjustments during the application or hiring process, including interview or onboarding support
Opportunities for personal and professional growth