Conversational AI Application Developer (English and Spanish speaker)

About the Role

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.

Responsibilities

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.

What You'll Need

• Academic Degree in Computer Science, Computational Linguistics, Natural Language;
• Fluent English and Spanish;
• 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

Resume Tip

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 French and/or German