Senior AI Engineer: Agentic Systems & Production Quality

Jobtailor; Austin (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor in Austin, TX is seeking an experienced AI engineer to build agentic systems and production-grade tooling. You will own quality criteria, evaluation frameworks, and deployment patterns across teams.

The role requires 8+ years, strong Python, and hands-on experience with multi-agent architectures, tool calls, and reliable software. You will collaborate with product, security, and platform teams to deliver secure, scalable AI-enabled features.

Qualifications

• 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.

Responsibilities

• 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

Skills

Strong Python expertise

Proven track record of delivering prod

Hands-on agentic systems in production

Tool calling, structured outputs, and

Tools

MCP Tool Protocols

AI Coding Agents

Job description

Jobtailor in Austin, TX is seeking an experienced AI engineer to build agentic systems and production-grade tooling. You will own quality criteria, evaluation frameworks, and deployment patterns across teams.

The role requires 8+ years, strong Python, and hands-on experience with multi-agent architectures, tool calls, and reliable software. You will collaborate with product, security, and platform teams to deliver secure, scalable AI-enabled features.