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Senior Software Engineer – AI-Driven Platform & Agentic Systems(m/w/x)
Implementing LLMs and agentic systems for an enterprise SaaS platform optimizing customer interactions. 6+ years backend/platform development and hands-on experience with conversational AI required. Direct impact on product roadmap and architecture.
Anforderungen
- Permanent work and residency permit for Germany/EU
- More than six years of experience in backend or platform development
- Solid experience in planning and architecting large-scale software systems
- Experience with production-grade, distributed systems
- Hands-on experience with LLMs, conversational AI, or agentic systems
- Proactive ownership of topics and structured problem-solving approach
- Understanding of enterprise requirements (security, audits, availability)
- Experience with productive voice systems, bots, or dialog platforms
- Experience with productive LLM frameworks and agentic patterns
Aufgaben
- Collaborate with product management to define work packages
- Guard the development process and ensure quality
- Proactively take responsibility and challenge the status quo
- Enhance existing services and build new components
- Implement LLMs, conversational AI, and agentic systems in production
- Further develop the core platform, including frontend and backend services
- Build and integrate LLM-based components like decision logic and assistant systems
- Develop intelligent voice and chatbots for inbound and outbound interactions
- Contribute to agentic AI approaches, including autonomous workflows and multi-step reasoning
- Work closely with Product, Data Science, and customer-facing teams
- Ensure compliance and traceability for AI-driven functionalities
- Shape the responsible integration of agentic AI into real-world processes
Berufserfahrung
- 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
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Senior Software Engineer – AI-Driven Platform & Agentic Systems(m/w/x)
Implementing LLMs and agentic systems for an enterprise SaaS platform optimizing customer interactions. 6+ years backend/platform development and hands-on experience with conversational AI required. Direct impact on product roadmap and architecture.
Anforderungen
- Permanent work and residency permit for Germany/EU
- More than six years of experience in backend or platform development
- Solid experience in planning and architecting large-scale software systems
- Experience with production-grade, distributed systems
- Hands-on experience with LLMs, conversational AI, or agentic systems
- Proactive ownership of topics and structured problem-solving approach
- Understanding of enterprise requirements (security, audits, availability)
- Experience with productive voice systems, bots, or dialog platforms
- Experience with productive LLM frameworks and agentic patterns
Aufgaben
- Collaborate with product management to define work packages
- Guard the development process and ensure quality
- Proactively take responsibility and challenge the status quo
- Enhance existing services and build new components
- Implement LLMs, conversational AI, and agentic systems in production
- Further develop the core platform, including frontend and backend services
- Build and integrate LLM-based components like decision logic and assistant systems
- Develop intelligent voice and chatbots for inbound and outbound interactions
- Contribute to agentic AI approaches, including autonomous workflows and multi-step reasoning
- Work closely with Product, Data Science, and customer-facing teams
- Ensure compliance and traceability for AI-driven functionalities
- Shape the responsible integration of agentic AI into real-world processes
Berufserfahrung
- 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
virtualQ GmbH
Branche
IT
Beschreibung
The company develops an enterprise SaaS platform for AI-driven optimization of customer interactions.
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