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Software Engineer – Conversational AI Application Developer, Tech Lead
Omilia - Conversational Intelligence. Own end-to-end solution design and technical direction for agentic implementations, from business requirements through production delivery .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in end-to-end solution design and technical direction for conversational AI applications, with a strong focus on project management, team leadership, and client engagement. Proficient in Java and/or JavaScript, with a solid understanding of networking concepts and experience in delivering enterprise-level solutions.
Highest-signal resume keywords
Conversational AI Application DevelopmentProject ManagementJava and/or JavaScriptClient-Facing CapabilityAgile Delivery Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Conversational AIAutomated Dialog SystemsIVR SystemsNetworking ConceptsTelephony ConceptsJavaJavaScriptBacklog ManagementKPI AnalysisUsability Principles
Soft Skills
Excellent Communication SkillsTeam LeadershipProblem ResolutionStakeholder EngagementClient Consultation
Tools & Technologies
Omilia Technology SuiteJiraCCaaS PlatformsGenesysAvayaNICE
Industry Keywords
BankingInsuranceUtilitiesConversational AIContact Centre Platforms
Tech Stack
Tools & technologiesJavaJavaScriptVoIP
About the role
Key responsibilities & impact- Own end-to-end solution design and technical direction for agentic implementations, from business requirements through production delivery
- Lead and coordinate a project team of Conversational AI Developers, QA Engineer, and Integrations Engineer
- Lead design, development, and delivery of production-grade conversational AI applications using Omilia's technology suite
- Analyze business requirements and design solutions to meet them
- Ensure applications follow usability principles and meet KPIs
- Manage the team's backlog and assign and oversee project tasks
- Ensure application quality and timely delivery
- Consult customers and provide guidance on problem resolution and best practices
- Explain technology and application capabilities to clients and stakeholders
- Identify and communicate improvement opportunities
- Communicate progress, risks, and technical decisions to internal and external stakeholders
- Define escalation thresholds and task-handoff structures between autonomous and human agents
Requirements
What you’ll need- 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 centre platforms
- Understanding of networking and telephony concepts (VoIP, SIP connectivity, gateways, PBX, etc.)
- Excellent written and oral communication skills in English, Portuguese, and Spanish
- Client-facing capability
- Proven ability to lead and coordinate a technical delivery team
- Prior hands-on experience as a Conversational AI Application Developer or similar OCP role is nice to have
- Familiarity with CCaaS platform integrations such as Genesys, Avaya, or NICE is nice to have
- Experience delivering conversational AI for enterprise clients in banking, insurance, or utilities is nice to have
- Exposure to agile delivery practices and backlog management tools such as Jira is nice to have
Benefits
Comp & perks- Fixed compensation
- Long-term employment with the 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
- Equal opportunity and diverse, inclusive workplace