Conversational AI Application Developer (English and Greek speaker)

We are seeking a Conversational AI application developer to join our Solution Delivery team. You will be part of a talented software team that delivers the latest in Conversational AI and Virtual Agent technologies, bringing advanced voice and chat-driven solutions to enterprises across the world.
- This position is fully remote and can be worked from any EU country .

As part of that team, you will be trained on Omilia ’s Cloud Platform (OCP) and gain an under-the-hood understanding of the technologies enabling conversational and agentic AI-driven, omnichannel human-system interactions: traditional NLU modeling, generative AI capabilities, and autonomous agent workflows.

The successful candidate will contribute to the design and development of production-grade conversational, agentic AI systems, using Omilia ’s technology suite. Tasks and responsibilities include:

- 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;

- Fluent English and Greek;

- Processing, related field, or equivalent experience;

- 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, Portuguese, French and/or German

Benefits

- Fixed