Senior Fullstack AI Engineer, React, Java

Jobtailor; Austin (TX); On-site; USD 130,000 - 190,000; Full time

Job summary

Jobtailor is seeking an experienced Senior Java backend engineer in Austin, TX to build scalable backend services powering TeamViewer Tia. The role involves designing components that balance model-driven behavior with deterministic business logic, and delivering high-quality, secure code.

You will work with AI coding agents, guide architecture decisions, and help establish robust automated testing and evaluation.

Qualifications

• 5+ years of professional software development experience.
• Strong Java expertise and solid software engineering fundamentals.
• Experience designing and building distributed, scalable backend systems.
• Strong focus on clean code and object-oriented design.
• Hands-on experience integrating model-based or agentic capabilities into backend services.
• Regular use of AI coding agents with accountability for correctness, security, and maintainability.
• Ability to design and implement automated testing strategies for high volumes of generated code and regression prevention.
• Understanding of AI system failure modes such as hallucinations, context degradation, prompt injection, non-determinism, and silent regressions.
• Effective mitigation approaches for AI system failure modes.
• Structured and analytical working style.
• Excellent communication skills.
• Fluency in English.
• Ability to collaborate across teams including EMEA.

Responsibilities

• Build Java backend services powering TeamViewer Tia for end users, from feature APIs to integration points with the wider platform
• Design components where model-driven behavior meets deterministic business logic, keeping boundaries explicit, testable, and reliable
• Use AI coding agents to deliver at pace while owning architecture decisions, code quality, security, and maintainability
• Build automated test and evaluation coverage for safely merging generated changes without regressions
• Optimize backend services for conversational and agentic product needs, including latency, cost, caching, streaming, and batching
• Maintain shared context assets such as agent instructions, tool definitions, prompt templates, and domain documentation
• Mentor engineers on agent-assisted development and raise team standards for safe, effective AI-native engineering

Skills

Java

Distributed backend

Automated testing

AI integration

Streaming

Tool calling

Code quality

Security awareness

Tools

AI coding agents

Tool calling

Streaming data pipelines

Structured outputs

Job description

• Build Java backend services powering TeamViewer Tia for end users, from feature APIs to integration points with the wider platform
• Design components where model-driven behavior meets deterministic business logic, keeping boundaries explicit, testable, and reliable
• Use AI coding agents to deliver at pace while owning architecture decisions, code quality, security, and maintainability
• Build automated test and evaluation coverage for safely merging generated changes without regressions
• Optimize backend services for conversational and agentic product needs, including latency, cost, caching, streaming, and batching
• Maintain shared context assets such as agent instructions, tool definitions, prompt templates, and domain documentation
• Mentor engineers on agent-assisted development and raise team standards for safe, effective AI-native engineering

Requirements

• 5+ years of professional software development experience
• Strong Java expertise and solid software engineering fundamentals
• Experience designing and building distributed, scalable backend systems
• Strong focus on clean code and object-oriented design
• Hands‑on experience integrating model-based or agentic capabilities into backend services, including streaming, tool calling, and structured outputs
• Regular use of AI coding agents with critical review and accountability for correctness, security, and maintainability
• Ability to design and implement automated testing strategies for high volumes of generated code and regression prevention
• Strong understanding of AI system failure modes, including hallucinations, context degradation, prompt injection, non‑determinism, and silent regressions
• Effective mitigation approaches for AI system failure modes
• Structured and analytical working style
• Excellent communication skills
• Fluency in English
• Ability to collaborate effectively with teams across EMEA

Core Competencies

Demonstrates strong Java expertise and extensive experience in building scalable backend systems, with a focus on clean code, object-oriented design, and automated testing strategies. Capable of mentoring engineers and optimizing AI-native engineering practices while ensuring code quality and security.

Highest-signal resume keywords

• Java Expertise
• Distributed Backend Systems Design
• Automated Testing Strategies
• AI System Failure Mitigation
• Mentoring Engineers

ATS Optimization Keywords

Hard Skills

• Java
• Software Development
• Object-Oriented Design
• Automated Testing
• Backend Services Optimization
• Model-Based Integration
• Agentic Capabilities
• Clean Code Practices
• Scalable Systems Design
• AI Coding Agents

Soft Skills

• Excellent Communication
• Structured Working Style
• Analytical Thinking
• Collaboration

Industry Keywords

• AI-Native Engineering
• Context Assets Management
• Latency Optimization
• Streaming
• Tool Calling
• Prompt Injection
• Non-Determinism
• Silent Regressions