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 compensation;
Private health insurance;
Long-term employment with the working days vacation;
Development in…