Conversational AI Engineer
We’re looking for an experienced Conversational AI Engineer to help us design and build intelligent, enterprise-grade AI solutions — from chatbots and voicebots to GenAI-powered agents and Retrieval-Augmented Generation (RAG) systems.
If you’re excited about shaping the future of automated customer experience, this role gives you the opportunity to work with cutting-edge AI tools, cloud-native architectures, and large-scale enterprise environments.
What do we offer:
Competitive salary 2900 - 5200 EUR gross
Flexible vacation + health & travel insurance
Hybrid work model: flexible hours with the possibility to combine office and remote work.
Work with Fortune 500 companies from different industries all over the world
Skills development and training opportunities, company-paid certifications
Opportunities to advance career
An open-minded and inclusive company culture
Main responsibilities (Conversational AI–Focused)
- Design, develop, and maintain Conversational AI applications, including chatbots, voicebots, and GenAI-driven virtual agents.
- Build and optimize conversation flows, intents, prompts, and AI orchestration logic across leading platforms (e.g., Cognigy, Dialogflow CX, Teneo, Watson).
- Implement Retrieval-Augmented Generation (RAG) architectures, including vector stores, embeddings, and knowledge integrations.
- Develop clean, well-tested, maintainable code for backend services, integrations, and custom AI logic.
- Integrate AI solutions into large enterprise ecosystems, ensuring security, performance, and reliability.
- Collaborate closely with client architecture and engineering teams to define solution patterns, architecture, and best practices.
- Work in an Agile development team, participating in sprints, planning, code reviews, and continuous delivery.
Requirements:
Technical Expertise
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Strong expertise in JavaScript/TypeScript, HTML, and JSON; experience with Python is a plus.
- 2+ years of experience with Conversational AI orchestration platforms, e.g., Cognigy.AI, Teneo, IBM Watson, Google Dialogflow CX, MS Bot Framework, etc.
- Understanding of RAG architectures, including vector databases and embedding models.
- Proficiency in Prompt Engineering, conversation design, and AI-driven optimization.
- Strong understanding of AI/ML concepts and digital customer experience patterns.
- Experience working with REST APIs, microservices, and scalable backend development.
- Experience with SQL/NoSQL databases.
- Knowledge of AI ethics, bias mitigation, and responsible AI practices is a plus.
Cloud & Infrastructure
- Hands-on experience with Azure cloud services (mandatory), including Azure Functions and Azure Foundry
- Familiarity with other cloud platforms (AWS, GCP) is a plus.
- Experience with Docker, packaging, CI/CD pipelines, and version control (Git).
- Understanding of data engineering principles, data pipelines, and working with large datasets (cleaning, transformation, manipulation).
Soft Skills
- Strong analytical thinking and creative problem-solving abilities.
- Good communication skills for collaborating with cross-functional and client teams.
- Fluent English (written and spoken).
Bonus
- Cognigy.AI Certification is considered a strong advantage.
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