Role Description We're looking for an AI Engineer to design and build the AI systems behind real, production-grade applications. This is applied engineering work: building agentic workflows, retrieval pipelines, and orchestration layers that integrate into business-critical environments and stand up to real-world use. You'll take AI capabilities from idea to deployment, owning the full path including evaluation, observability, and the operational concerns that determine whether a system survives contact with users. What You'll Do - Design, implement, and ship AI systems that automate work, support decisions, and unlock new workflows for enterprise clients. - Build multi-step agents and tool-using LLM systems. - Wire systems into structured and unstructured data sources. - Package systems into services that other engineers and applications can consume safely. - Own the evaluation, observability, and feedback loops to iterate with confidence. - Collaborate closely with engineers, strategists, and designers. - Engage in client conversations from early scoping through delivery. Qualifications - 3+ years of experience shipping AI-powered systems in production. - Background in computer science, math, physics, engineering, or another technical or scientific field. - Strong in Python and fluent in modern LLM engineering patterns: agents, MCP, skills, tool use, retrieval, structured outputs, and evals. Requirements - Real software engineering skills: CI/CD, testing, version control hygiene, and code quality. - Ability to balance accuracy, latency, cost, and maintainability. - Experience debugging production systems. - Comfortable wrapping AI logic into services for other engineers. How You Work - Treat AI as an engineering discipline with a focus on observability and maintainability. - Adaptable to a consulting environment with varying domains and constraints. - Ability to translate business problems into technical solutions. - Comfortable in client interactions without project manager interference. - Enjoy the fast-paced nature of the field, actively integrating new models, tools, and patterns. - Push back on ideas that don't make sense and care about building sustainable systems. Interested? If this sounds like a fit, apply with your CV and a short note on a system you've built that you're proud of. Bonus points for something we can actually look at!

• 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. • 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). • 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; • Testing early platform features to provide feedback; • Closely working with customers and other team members to debug and troubleshoot issues; • Supporting partners and customers, providing consultation on design and development practices; • Engaging in continuous collaboration with team members, communicating problems effectively, and sharing insights.

• 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

Role Description 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 - 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) - 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 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 - Assisting with issue resolution during day-2 operation - Engaging in continuous collaboration with team members, communicating problems effectively, and sharing insights Qualifications - Academic Degree in Computer Science, Computational Linguistics, Natural Language Processing, related field, or equivalent experience - Fluent in 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 Requirements - 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 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 Company Description Omilia is proud to be an equal opportunity employer and is dedicated to fostering a diverse and inclusive workplace. We believe that embracing diversity in all its forms enriches our workplace and drives our collective success. We are committed to creating an environment where everyone feels welcomed, valued, and empowered to contribute their unique perspectives without regard to factors such as race, color, religion, gender, gender identity or expression, sexual orientation, national origin, heredity, disability, age, or veteran status. All eligible candidates will be given consideration for employment.