Senior Fullstack AI Engineer, React, Python

Jobtailor; Austin (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

TeamViewer is seeking an experienced engineer to build and operate enterprise-grade AI systems behind our agentic ecosystem. You will design Python services and contribute across the stack with TypeScript, focusing on authentication, tenancy isolation, auditing, rate limiting, and cost controls.

You will create evaluation frameworks, safeguard against prompt injection and tool misuse, monitor telemetry, and collaborate with security stakeholders to improve reliability across globally distributed

Qualifications

• 8+ years of production software experience with Python and TS.
• Hands-on with model-based or agentic systems and tool calling.
• Strong understanding of MCP protocols, authorization, discovery, multi-tenant setups.
• Ability to define quality criteria and evaluate AI systems.
• Experience with OAuth and service identities in enterprise SaaS.

Responsibilities

• Build services behind TeamViewer's agentic ecosystem, MCP servers, tool integrations, and external connections.
• Design and operate enterprise-grade AI systems with authentication, tenancy isolation, and auditability.
• Create agent-friendly interfaces, schemas, workflows, and evaluate effectiveness.
• Develop evaluation frameworks for prompts, tools, models, and retrieval strategies.
• Engineer production AI workflows with telemetry, monitoring, cost controls, and latency tracking.
• Implement safeguards against prompt injection, tool misuse, and AI security risks with stakeholders.
• Work across the full stack by building Python services and collaborating on frontend experiences.
• Improve AI coding agents, context tooling, and engineering practices.

Skills

Python Software Development

TypeScript Expertise

Agentic Systems Delivery

MCP Protocols Understanding

Quality Frameworks

OAuth & Service Identities

AI Coding Agents

AI Security Risk Management

English Communication

Tools

OAuth

Event-Driven Architectures

Enterprise SaaS Platforms

Job description

• Build services behind TeamViewer's agentic ecosystem, including MCP servers and clients, tool integrations, context assembly, orchestration, and external agent-framework connections


• Design and operate enterprise-grade AI systems with authentication, authorization, tenancy isolation, auditability, rate limiting, and cost controls


• Create agent-friendly tool interfaces, schemas, and workflows, and validate effectiveness through systematic evaluation


• Build and maintain evaluation frameworks for prompts, tools, models, and retrieval strategies, using quality gates for release decisions


• Engineer and optimize production AI workflows with telemetry, monitoring, cost management, latency tracking, and quality drift detection


• Implement safeguards against prompt injection, tool misuse, and other AI-specific security risks with security stakeholders


• Work across the full stack by building Python services and partnering on frontend experiences


• Use AI coding agents as a core development mechanism and improve the context, tooling, and engineering practices supporting them

Requirements

• 8+ years of experience building production software with Python


• Sufficient TypeScript expertise to contribute across the stack


• Hands-on experience delivering model-based or agentic systems, including tool calling, structured outputs, retrieval, context management, and orchestration


• Strong understanding of MCP or comparable agent-tool protocols, including authorization, discovery, versioning, and multi-tenant environments


• Ability to define quality criteria, build evaluation frameworks, interpret results, and improve AI systems based on evaluation outcomes


• Working knowledge of OAuth, service identities, event-driven architectures, and enterprise SaaS platforms


• Regular use of AI coding agents, with critical review and accountability for correctness, security, and maintainability


• Deep understanding of AI-specific security risks, including prompt injection, tool abuse, excessive permissions, and data leakage through model context


• Familiarity with AI system failure modes such as hallucinations, context degradation, non-determinism, and silent regressions, plus mitigation strategies


• Excellent English communication skills and ability to collaborate across globally distributed engineering teams

Core Competencies

Demonstrates extensive experience in building production software with Python and TypeScript, focusing on AI systems and agentic frameworks. Proficient in implementing security measures and evaluation frameworks to enhance AI system performance and reliability.

Highest-signal resume keywords

• Python Software Development


• TypeScript Expertise


• AI System Evaluation Frameworks


• MCP Protocols Understanding


• AI-Specific Security Risk Management

ATS Optimization Keywords

Hard Skills

• Production Software Development


• Model-Based Systems Delivery


• Tool Calling


• Context Management


• Orchestration


• Quality Criteria Definition


• AI Coding Agents


• Telemetry and Monitoring


• Cost Management


• Latency Tracking

Soft Skills

• Excellent English Communication


• Collaboration Across Teams

Industry Keywords

• Agent-Tool Protocols


• Multi-Tenant Environments


• AI-Specific Security Risks


• Context Degradation


• Non-Determinism

Tools & Technologies

• OAuth


• Event-Driven Architectures


• Enterprise SaaS Platforms