> Markdown version of [/jobs/ext/2565312-mlops-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2565312-mlops-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # MLOps AI Engineer - **Company:** TeamViewer Germany GmbH, - **Location:** Austin, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automation of Tests, Microsoft Azure, Continuous Integration, Data Governance, Software Debugging, Python (Programming Language), Routing, Standard Sql, Management of Software Versions, Data Processing, Delivery Pipeline, Caching, Rate Limiting, Deployment Automation, Machine Learning Operations, Data Pipelines - **Published:** August 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a3c2762eca942004 ## About the Role * 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. ## Description * 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. ## About TeamViewer Germany GmbH TeamViewer is a leading global technology company that provides a cutting-edge platform to remotely access, control and support devices of any kind. Our software solutions empower our users and customers to bridge distances and digitalize their processes through seamless connectivity. Our team is committed to quality and passionately leading the way in the fields of Augmented Reality, Internet of Things and Artificial Intelligence. With over 1.400 employees from more than 80 nationalities in... **Tech Stack:** Android, C#, C++, Cassandra, Kotlin, Microservices, Objective-C, Product Management, React, TypeScript, Unity, Swift, Java **Industries:** Computer Software [Company profile](https://www.wearedevelopers.com/companies/3355-teamviewer-germany-gmbh) ### More Jobs at TeamViewer Germany GmbH - [AI Software Engineer](https://www.wearedevelopers.com/jobs/ext/2200303-ai-software-engineer) - [Senior Enterprise Solutions Engineer](https://www.wearedevelopers.com/jobs/ext/2548326-senior-enterprise-solutions-engineer) - [Senior Software Engineer](https://www.wearedevelopers.com/jobs/ext/2618818-senior-software-engineer) - [Senior Software Engineer, C++](https://www.wearedevelopers.com/jobs/ext/2347554-senior-software-engineer-c) - [Senior Fullstack AI Engineer (React, Java)](https://www.wearedevelopers.com/jobs/ext/2618728-senior-fullstack-ai-engineer-react-java) ## Related Videos - [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster) - [Creating a routing app with Google Maps API from scratch](https://www.wearedevelopers.com/videos/831-creating-a-routing-app-with-google-maps-api-from-scratch) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [MLOps - What’s the deal behind it?](https://www.wearedevelopers.com/videos/392-mlops-what-s-the-deal-behind-it) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Event based cache invalidation in GraphQL](https://www.wearedevelopers.com/videos/433-event-based-cache-invalidation-in-graphql) ## Related Articles - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)