Conversational AI Application Developer, English and Greek

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Omilia - Conversational Intelligence

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2002

🤖 Artificial Intelligence

🛍️ eCommerce

Artificial Intelligence • eCommerce • Customer Service

Omilia is a leader in Conversational AI, specializing in voice and chat solutions that enable natural, end-to-end customer interactions. Their Omilia Cloud Platform provides advanced AI-driven customer service tools, including real-time agent assistance, voice biometrics for fraud prevention, and data analytics to enhance customer insights. Serving industries such as finance, insurance, retail, automotive, and travel, Omilia focuses on automating customer service while ensuring a secure and personalized experience.

📋 Description

• Working with customers to analyze and understand business requirements; • Designing the application in line with established usability principles and business requirements; • Developing hybrid Conversational AI applications that blend agentic and deterministic, rule-based capabilities; • Implementing and testing the semantic models and the conversation flow, leveraging rule-based, ML-based, and GenAI-based technologies made available on Omilia's Cloud Platform (OCP). More detailed tasks include: preparing, augmenting, and annotating datasets for ML and agentic training; executing model testing to assess performance; developing semantic rules using dictionaries and regular expressions; managing RAG knowledge base configuration; prompt engineering; • Using JavaScript to code application logic; • Integrating Omilia applications with client systems via REST web services; • Test-driven development, unit and regression testing; • Analyzing real-life human-system dialogs using Omilia's Conversational Insights and analytics tools, assessing the overall system performance, and identifying improvement opportunities; • Closely working with customers and other team members to debug and troubleshoot issues; • Testing early platform features to provide feedback, communicating identified product improvement opportunities or partner/customer feedback to the product team for resolution; • Supporting partners and customers, providing consultation on design and development practices as well as assisting with issue resolution during day-2 operation; • Engaging in continuous collaboration with team members, communicating problems effectively, and sharing insights

🎯 Requirements

• Academic Degree in Computer Science, Computational Linguistics, Natural Language Processing, related field, or equivalent experience; • Fluent English and Greek; • Excellent communication skills; customer-facing; • Problem solving and engineering mindset; • Knowledge of basic programming principles; • Interest in or familiarity with Generative AI concepts (LLMs, prompt engineering, RAG); • Ambition, enthusiasm, and eagerness to learn, aptitude for analytical and creative thinking, with sharp attention to detail; • Well-organized for both team and/or solo assignments; • Accountable within demanding deadlines • Nice to have • Experience with conversational automated dialog systems, either voice or chat-based; • Experience in any other production-level NLU/NLP solutions; • Experience with GenAI/LLM technologies: prompt engineering, or RAG; • Familiarity with agentic AI frameworks or autonomous agent concepts; • Any customer facing experience in a corporate setting will be considered a plus; • Experience with Javascript and/or object-oriented programming (e.g. Java); • Experience consuming external systems such as web services and REST APIs; • Experience with cloud contact center platforms; • Experience with Git and CI/CD processes; • Knowledge of bash scripting for automating SDLC internal tasks; • Knowledge of Spanish, French and/or German

🏖️ Benefits

• Fixed compensation; • Long-term employment with the working days vacation; • Development in professional growth (courses, training, etc); • Being part of successful cutting-edge technology products that are making a global impact in the service industry; • Proficient and fun-to-work-with colleagues; • Apple gear.