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Omilia
AI & Machine Learning 4h ago

Tech Lead, Conversational AI Application Developer

Omilia
BrazilBrazil
Full-time
Not Disclosed
Senior-Level

Job Description

Key Skills Required

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NLPJavaScriptAI EngineerJavaAgile Delivery

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The **Tech Lead, Conversational AI Application Developer** owns end-to-end solution design and technical direction for the agentic implementation. This role bridges business requirements and hands-on execution, defining how autonomous agents are scoped, how task handoffs are structured, where human escalation thresholds are set, and how the development team is coordinated.

Accountabilities

  • Solution Ownership: Accountable for end-to-end solution design and technical direction of the agentic implementation, from business requirements through to production delivery.
  • Team Leadership: Accountable for leading and coordinating the project team of Conversational AI Application Developer(s), QA Engineer, and Integrations Engineer.
  • Delivery Quality: Accountable for the quality, KPI alignment, and timely delivery of the conversational AI application.
  • Escalation & Autonomy Design: Accountable for defining how autonomous agents are scoped, how task handoffs are structured, and where human escalation thresholds are set.
  • Stakeholder Management: Accountable for client consultation and for communication with internal and external stakeholders throughout delivery.

Key Responsibilities

  • Lead a project team of Conversational AI Developers responsible for the design, development, and delivery of production-grade conversational AI applications using Omilia's technology suite.
  • Analyze business requirements and design and develop the solution to meet those requirements.
  • Ensure the application aligns with established usability principles and meets set KPIs.
  • Manage the team's backlog; assign and oversee project-related tasks.
  • Ensure the quality and timely delivery of the application.
  • Consult customers and provide guidance on problem resolution and best practices.
  • Explain the technology and application capabilities to clients and stakeholders.
  • Identify and communicate improvement opportunities.
  • Communicate with internal and external stakeholders on progress, risks, and technical decisions.
  • Define escalation thresholds and task-handoff structures between autonomous agents and human agents.

Requirements

Required:

  • Academic degree in Computer Science, Information Technology, Computational Linguistics, Natural Language Processing, or other related field, or equivalent experience.
  • Knowledge of Java and/or JavaScript.
  • Experience building automated dialog systems, either voice or chat-based, and/or experience with IVRs and contact center platforms.
  • Understanding of networking and telephony concepts (VoIP, SIP connectivity, gateways, PBX, etc.).
  • Excellent written and oral communication skills — English, Portuguese, and Spanish. Client-facing.
  • Proven ability to lead and coordinate a technical delivery team.

Nice to have:

  • Prior hands-on experience as a Conversational AI Application Developer or similar OCP role.
  • Familiarity with CCaaS platform integrations (e.g., Genesys, Avaya, NICE).
  • Experience delivering conversational AI for enterprise clients in banking, insurance, or utilities.
  • Exposure to agile delivery practices and backlog management tools (e.g., Jira).

Benefits

  • Fixed compensation;
  • Long-term employment with vacation days;
  • 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.

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Omilia is a global conversational AI and voice technology provider specializing in customer experience automation for enterprises. Founded in 2002 and headquartered in Cyprus, Omilia offers proprietary natural language understanding (NLU), speech-to-text, and virtual assistant platforms to power automated, human-like voice and digital customer care across global contact centers.

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