Senior Fullstack AI Engineer, React, C#

TeamViewer

Senior Fullstack AI Engineer building React frontends and .NET services for TeamViewer’s digital workplace platform. Shaping AI-native, distributed systems across Web Shell, observability, and agentic product domains in Austin.

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

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in designing and building scalable .NET services and React frontends, with a strong focus on distributed systems and microservices architecture. Proficient in utilizing AI coding agents and ensuring software correctness, security, and maintainability in high-load environments.

Highest-signal resume keywords

C#/.NET ExpertiseReact SkillsDistributed Systems KnowledgeSQL Database ExperienceAI Coding Agent Utilization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C#.NETReactMicroservicesSQLNon-Relational Data StoresCloud PlatformsEvent-Driven ArchitectureAI Coding AgentsSoftware Engineering Principles

Soft Skills

Excellent English CommunicationCollaborative Mindset

Tools & Technologies

MCP ToolsTyped APIsContainerized Deployments

Industry Keywords

TelemetryAudit PipelinesPerformanceScalabilityReliabilityAI-Native Engineering Practices

Tech Stack

Tools & technologies

CloudDistributed SystemsMicroservices.NETReactSQL

About the role

Key responsibilities & impact

Design and build scalable .NET services and React frontends across Web Shell, Agentic Ecosystem, and Endpoint Observability domains
Build event, telemetry, and audit pipelines covering ingestion, correlation, retention, export, and access control at enterprise scale
Expose platform capabilities safely to Tia and third-party agents through MCP tools, typed APIs, and tenancy-aware authorization
Deliver production features in a microservices codebase using AI coding agents, contract tests, schema validation, and integration coverage
Debug distributed, partly model-driven systems and build tracing for non-deterministic behavior
Maintain service-layer context for agents, including API contracts, domain vocabulary, architectural decision records, and repository instructions
Own performance, scalability, reliability, and AI-assisted cost profiles for shipped services
Partner with product management and EMEA anchor teams to refine requirements and shape architectural decisions

Requirements

What you’ll need

8+ years of production software engineering experience
Strong C#/.NET expertise
Solid React skills
Strong foundation in software engineering principles
Deep expertise in distributed systems, including microservices, messaging, consistency trade-offs, and diagnosing failures in high-load environments
Experience with SQL databases, non-relational data stores, cloud platforms, containerized deployments, and event-driven or streaming architectures at scale
Regular use of AI coding agents within production codebases
Accountability for correctness, security, and maintainability of delivered software
Experience exposing capabilities to AI systems through tool and function interfaces, structured APIs, MCP servers, or similar model-facing integration patterns
Understanding of AI model failure modes, including hallucinations, context degradation, prompt injection, non-determinism, and silent regressions
Effective mitigation strategies for AI model failure modes
Ability to critically evaluate generated code at scale and reject unsafe outputs
Ability to use tests, evaluations, and architectural context to ensure reliability
Excellent English communication skills
Collaborative mindset for working with teams across EMEA
Strong interest in shaping AI-native engineering practices

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, values-driven workplace culture
Accommodations or adjustments during the application or hiring process, including interview or onboarding support