Type: Full-time

Location: Munich (preferred), hybrid/flexible

Overview

As a Conversational AI Engineer within Advanced Analytics (DA3) in the Chief Data & AI Office at Allianz Partners, you will design, build, and operate voice agents and conversational AI systems that power customer-facing and operational use cases at scale.

We are looking for an engineer with deep hands-on experience in agent building—not just platform configuration—who can architect multi-turn dialogue systems, integrate them with live backend services, and own their quality and reliability in production.

You will work in a cross-functional environment with Computational Linguists, Backend Engineers, and product teams, taking end-to-end ownership of voice agent delivery—from conversation design and NLU integration through to API wiring, observability instrumentation, and production operation.

You will also build reusable agent components and patterns that raise the capability of the whole team and use AI-assisted developer tools as a standard part of how you work.

Key Responsibilities

Design, build, and operate voice agents and multi-turn conversational flows, owning quality and reliability end-to-end

Architect agent logic including intent routing, context management, dialogue state handling, fallback and escalation paths, and graceful error recovery

Integrate voice agents with backend services via REST APIs to retrieve live data, trigger business processes, and handle asynchronous responses

Configure and tune speech pipeline components including ASR, TTS, and voice activity detection to meet accuracy and latency targets

Instrument voice agents for observability, including:

- Conversation analytics

- Containment rates

- Drop-off points

- Error logging

- Alerting on quality regressions

Build reusable dialogue components, shared templates, and platform patterns to accelerate delivery across use cases

Collaborate with Computational Linguists to improve NLU quality, intent coverage, and entity extraction accuracy

Diagnose and resolve issues across dialogue logic, NLU performance, and API integrations; perform root-cause analysis

Contribute to design reviews, define quality standards, and support knowledge sharing across the team

Required Experience and Skills

5+ years of professional experience in conversational AI, voice agent development, or dialogue systems engineering, with production system exposure

Demonstrated hands-on agent building experience, including designing and implementing multi-turn dialogue systems

Strong NLU integration experience:

- Intent classification

- Entity extraction

- Slot filling

- Dialogue state tracking

Solid API integration skills:

- REST API design and consumption

- Authentication patterns

- Error handling

- Asynchronous response handling

Experience operating voice AI systems in production:

- Monitoring

- Incident response

- Quality measurement

- Continuous improvement

Proficiency in Python for tooling, integration scripting, and automation

Experience with conversational AI evaluation metrics:

- Containment rate

- Task completion

- NLU accuracy

- Overall conversation quality

Strong understanding of speech pipeline fundamentals:

- ASR (Automatic Speech Recognition)

- TTS (Text-to-Speech)

- VAD (Voice Activity Detection)

- Impact on user experience

Ways of Working

Comfortable in agile, iterative environments with ownership of agent quality and production reliability

Strong collaborator across technical and non-technical stakeholders, able to translate complex dialogue design into business terms

High standards for quality and craftsmanship, measured by real production performance

Proactive learner using AI-assisted tools (e.g., GitHub Copilot, Claude Code) to improve development speed and automation

Nice to Have

Experience with voice AI platform certifications or advanced configuration on major conversational AI platforms

Experience integrating voice agents with containerised backend services and cloud-native API infrastructure

Multilingual experience, particularly in European languages (German, Italian, Spanish, French)

Experience in regulated environments with requirements around:

- Conversation logging

- Data handling

- Access controls

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.

At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.

We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

Join us. Let's care for tomorrow.

2 Jobs for Github copilot in Germany

Conversational AI Engineer (Senior)

Backend &amp; Integration Java Developer m/w/d M/F

Backend & Integration Java Developer m/w/d M/F