Senior AI Engineer

TeamViewer

Senior AI Engineer building agentic capabilities for TeamViewer’s digital workplace platform. Taking AI systems to production with rigorous evaluation, secure tooling, and reliable orchestration.

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying agentic systems, with a strong focus on AI quality criteria, evaluation frameworks, and production-level software engineering. Proficient in Python and experienced in collaborating with cross-functional teams to deliver secure and reliable AI-enabled features.

Highest-signal resume keywords

Python ExpertiseProduction Systems DeliveryAI Quality Criteria DefinitionModel-Based Systems EngineeringMulti-Agent Architecture Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Engineering FundamentalsData-Driven Prompt EngineeringContext EngineeringTool CallingOrchestration PatternsEvaluation FrameworksAI Model Landscape UnderstandingAgentic Development EnvironmentsAI Failure Modes MitigationCritical Review Practices

Soft Skills

Strong Communication SkillsCollaborative Mindset

Tools & Technologies

MCP Tool ProtocolsAI Coding Agents

Industry Keywords

Agentic EcosystemQuality DriftLatency ManagementCost ManagementSecurity Implications

Tech Stack

Tools & technologies

AssemblyPython

About the role

Key responsibilities & impact

Build agentic capabilities for TeamViewer Tia and the Agentic Ecosystem, including orchestration, tool use, retrieval, memory, and multi-step task execution
Define quality criteria, build datasets and evaluation harnesses, and use evaluation results to guide release decisions
Engineer model context through retrieval strategy, chunking, ranking, caching, compaction, and prompt assembly
Improve quality through systematic iteration on prompts, tool design, model selection, and orchestration patterns
Take AI capabilities to production and manage latency, cost, rate limits, fallback behavior, and quality drift
Partner with product management, security, and platform teams to deliver secure, reliable AI-enabled features
Apply fine-tuning or smaller specialized models where evaluation evidence supports it
Work agent-first in engineering and help maintain team context, tooling, and delivery patterns
Help shape high-quality agentic engineering practices across EMEA teams

Requirements

What you’ll need

8+ years of industry experience
Strong Python expertise
Solid software engineering fundamentals
Proven track record of delivering production systems
Hands-on experience building model-based and agentic systems in production environments
Experience with tool calling, structured outputs, retrieval, orchestration, and multi-agent architectures
Ability to define AI quality criteria, build evaluation frameworks, interpret results, and identify real-world failure modes
Data-driven prompt and context engineering experience
Strong understanding of the current AI model landscape
Ability to make pragmatic decisions across providers, architectures, cost, latency, reliability, and quality requirements
Working knowledge of MCP or comparable tool protocols
Experience with agentic development environments
Understanding of security implications of giving models access to tools and enterprise systems
Regular use of AI coding agents with critical review practices
Accountability for correctness, security, and maintainability of delivered software
Deep understanding of AI failure modes including hallucinations, context degradation, prompt injection, non-determinism, and silent regressions
Effective mitigation strategies for common AI failure modes
Strong communication skills
Ability to engage with technical and non-technical stakeholders
Collaborative mindset for working across EMEA teams

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
Support for accommodations or adjustments during the application or hiring process, including interview or onboarding support
Opportunities for employees to grow personally and professionally