| Location | Austin, Texas |
| Website | https://www.teamviewer.com/en/legal/imprint |
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
The AI for End-Users team is building TeamViewer Tia for end users, creating AI-powered experiences that help people understand, troubleshoot, and resolve technology issues with less effort. The team focuses on making advanced AI feel simple, trustworthy, and useful in everyday work.
This work sits where user experience, enterprise security, device context, automation, and AI come together. The challenge is not only to create a helpful assistant, but to ensure it operates safely by using the right context, respecting policies, validating permissions, escalating when needed, and executing only appropriate actions.
You will help create the services, interaction patterns, integrations, evaluation systems, and safety mechanisms that make AI assistance reliable in production. Join us if you want to shape how people interact with AI in the workplace and build end-user experiences that are secure, practical, and genuinely useful.
Build and operate the data and AI platform behind TeamViewer’s agentic products, including ingestion, transformation, embeddings, indexing, retrieval, warehouses, lakes, and vector stores.
Own production infrastructure for model workloads, covering deployment, versioning, routing, caching, rate limiting, cost governance, and provider management.
Build observability for AI systems, including agent traces, tool calls, quality signals, latency, token cost, failure-mode analysis, and AI-specific alerting.
Implement CI/CD for AI systems so prompts, tool definitions, retrieval configuration, evaluation suites, and model versions are tested, deployed, monitored, and rolled back safely.
Run evaluation infrastructure for AI engineers, including dataset management, harness execution, regression tracking, and release reporting inside the delivery pipeline.
Define and enforce data quality, governance, security, privacy, access control, encryption, and sensitive-data handling across structured and unstructured sources.
Design experimentation platforms that allow the team to test AI and retrieval changes safely against real traffic.
Collaborate with AI engineers, software engineers, product, security, and platform teams to turn requirements into reliable production systems.
8+ years of industry experience with strong Python expertise, solid SQL knowledge, sound software engineering fundamentals, and a proven track record of building production-grade data pipelines and platform services.
Hands-on experience operating model-based applications in production, including retrieval pipelines, embeddings, vector databases, retrieval optimization, deployment, and observability.
Strong understanding of MLOps and LLMOps practices, including model and prompt versioning, evaluation frameworks, tracing, regression tracking, and AI-specific quality monitoring.
Proven ability to optimize AI workloads across providers and architectures by balancing cost, latency, reliability, and quality through effective caching and deployment strategies.
Experience with CI/CD, automated testing, and major cloud platforms, with Azure or GCP preferred.
Solid understanding of data governance, security, privacy, and GDPR requirements within AI-powered systems and workflows.
Regular use of AI coding agents, combined with a critical review mindset and accountability for the correctness, security, and maintainability of delivered software.
Practical experience with agentic development environments and extension models, including custom tools, MCP servers, repository-level instruction files, and sub-agents.
Deep understanding of common AI failure modes, including hallucinations, context degradation, prompt injection, non-determinism, and silent regressions, along with effective mitigation approaches.
Strong problem-solving skills, the ability to work independently, experience debugging complex systems, and a pragmatic approach to engineering trade-offs, coupled with clear communication and fluency in English.
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
We celebrate diversity as one of our core values. Join c-a-r-e and lead change initiatives together with us!
Work location for this position is Austin, TX.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States. Please understand TeamViewer is unable to provide sponsorship for employment or work authorization now or in the future.
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.