Allianz

4 weeks ago

Conversational AI Engineer (Senior) (Munich, DE, 80333)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Design, build, and operate voice agents and multi-turn conversational flows at scale within Allianz Partners, owning end-to-end quality and reliability. Collaborate with Linguists, Backend Engineers, and product teams to design NLU integration, API wiring, and production instrumentation. Build reusable components and patterns, employing AI-assisted tooling to raise team capability and accelerate delivery.

Location: Munich

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

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, and error logging

Key Requirements

•5+ years of professional experience in conversational AI, voice agent development, or dialogue systems engineering, with production system exposure
•Hands-on agent building experience, including designing and implementing multi-turn dialogue systems
•Strong NLU integration experience, including intent classification and entity extraction
•Proficiency with REST API design and consumption; solid API integration skills
•Proficiency in Python for tooling, integration scripting, and automation

Experience:5+ yearsConversational AIVoice agentDialogue systemsNLUAPI integration

Skills:CommunicationProblem-solvingCollaboration

Languages:GermanEnglish

Tech Stack:PythonREST APIASRTTSNLUGitHub CopilotObservabilityProductionDialogue state trackingIntent classificationEntity extractionSlot filling

Company Brief

Allianz

Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn

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Allianz

4 weeks ago

Conversational AI Engineer (Senior) (Munich, DE, 80333)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: Munich

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

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, and error logging

Key Requirements

•5+ years of professional experience in conversational AI, voice agent development, or dialogue systems engineering, with production system exposure
•Hands-on agent building experience, including designing and implementing multi-turn dialogue systems
•Strong NLU integration experience, including intent classification and entity extraction
•Proficiency with REST API design and consumption; solid API integration skills
•Proficiency in Python for tooling, integration scripting, and automation

Experience:5+ yearsConversational AIVoice agentDialogue systemsNLUAPI integration

Skills:CommunicationProblem-solvingCollaboration

Languages:GermanEnglish

Tech Stack:PythonREST APIASRTTSNLUGitHub CopilotObservabilityProductionDialogue state trackingIntent classificationEntity extractionSlot filling

Company Brief

Allianz

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn