MLOps AI Engineer

Jobtailor; Austin (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

TeamViewer is seeking a senior AI platform engineer to build and operate the data and AI platform supporting our agentic products. You will own production infrastructure, data pipelines, embeddings, and vector stores, ensuring scalable deployment and reliable performance.

You will drive MLOps, CI/CD, observability, cost governance, and safety with retrieval pipelines and tools. Collaborate with AI engineers, software teams, product, and security to deliver production-grade systems that scale

Qualifications

• 8+ years of industry experience in data/AI platforms.

Responsibilities

• Build and operate data and AI platform infrastructure, including ingestion, transformation, embeddings, indexing, retrieval, warehouses, lakes, and vector stores.

Skills

Python

SQL

MLOps

CI/CD

Data pipelines

Production infra

Cloud platforms

Observability

Retrieval pipelines

Model versioning

Cost governance

Security & privacy

English communication

Tools

Azure

GCP

CI/CD Tools

AI Coding Agents

Agentic Development Environments

Job 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, including 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, including testing, deployment, monitoring, and safe rollback of prompts, tool definitions, retrieval configurations, evaluation suites, and model versions
• Run evaluation infrastructure for AI engineers, including dataset management, harness execution, regression tracking, and release reporting
• Define and enforce data quality, governance, security, privacy, access control, encryption, and sensitive-data handling
• Design experimentation platforms to test AI and retrieval changes safely against real traffic
• Collaborate with AI engineers, software engineers, product, security, and platform teams to create reliable production systems

Requirements

• 8+ years of industry experience
• Strong Python expertise
• Solid SQL knowledge
• Sound software engineering fundamentals
• Proven track record 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
• Ability to optimize AI workloads across providers and architectures by balancing cost, latency, reliability, and quality through caching and deployment strategies
• Experience with CI/CD, automated testing, and major cloud platforms
• Azure or GCP preferred
• Understanding of data governance, security, privacy, and GDPR requirements within AI-powered systems and workflows
• Regular use of AI coding agents, with critical review and accountability for software correctness, security, and maintainability
• Practical experience with agentic development environments and extension models, including custom tools, MCP servers, repository-level instruction files, and sub-agents
• Deep understanding of AI failure modes, including hallucinations, context degradation, prompt injection, non-determinism, and silent regressions, with effective mitigation approaches
• Strong problem-solving skills and ability to work independently
• Experience debugging complex systems
• Pragmatic approach to engineering trade-offs
• Clear communication
• Fluency in English
• Must verify identity and eligibility to work in the United States
• TeamViewer cannot provide sponsorship for employment or work authorization now or in the future

Core Competencies

Demonstrates extensive expertise in building and operating data and AI platforms, with a strong focus on MLOps practices, data governance, and production-grade data pipelines. Proficient in Python and SQL, with a solid understanding of CI/CD processes and cloud platforms like Azure or GCP.

Highest-signal resume keywords

• Python Expertise
• SQL Knowledge
• MLOps Practices
• CI/CD Implementation
• Data Governance

ATS Optimization Keywords

Hard Skills

• Data Pipeline Development
• Model Workload Management
• Observability for AI Systems
• Retrieval Optimization
• AI-Specific Quality Monitoring
• Dataset Management
• Regression Tracking
• Deployment Strategies
• Cost Governance
• Encryption

Soft Skills

• Problem-Solving Skills
• Clear Communication
• Independent Work

Industry Keywords

• Data Governance
• GDPR Requirements
• AI-Powered Systems
• Production Infrastructure
• Model Versioning

Tools & Technologies

• Azure
• GCP
• CI/CD Tools
• AI Coding Agents
• Agentic Development Environments