Junior\/Intermediate Applied AI Specialist (Voice AI)

Summary

DASH BPO is seeking a motivated Applied AI Specialist to join their growing Voice AI team. The role involves owning feature testing and quality assurance for Voice AI products and transitioning into a Forward Deployed Engineer role, where you will configure and deploy AI solutions directly with customers.

Responsibilities

• Own feature testing for Voice AI products: design test cases, execute test plans, log defects, verify fixes, and run regression testing ahead of releases
• Apply established testing practices such as test-driven development (TDD), property-based testing, and unit, integration, end-to-end, and user acceptance testing
• Validate features across deployment environments (development, staging, and production) and support the controlled promotion of releases from one environment to the next
• Act as a Forward Deployed Engineer: configure, deploy, and support Voice AI solutions in customer environments, including pilots and production roll-outs
• Communicate and articulate clearly with customers: explain technical concepts, findings, and progress in a simple, confident, and professional manner
• Reproduce, triage, and clearly document issues, and collaborate with engineers to resolve them
• Track and manage work using project management tools such as Jira and Linear, including tickets, sprints, backlogs, and bug tracking
• Gather feedback from customers and internal stakeholders and translate it into clear, actionable tickets and requirements
• Evaluate the quality of AI models using appropriate evals, and make sound judgements on trade-offs between latency, classification metrics (accuracy, precision, recall, and F1), and cost
• Stay current with developments in AI and Voice AI, and proactively bring new tools, techniques, and ideas to the team
• Document test results, workflows, configurations, and findings clearly and comprehensively

Skills

• Hands-on experience building or configuring solutions with Voice AI platforms such as ElevenLabs, Twilio, or Amazon Connect, or familiarity with telephony concepts (e.g., SIP, WebRTC, IVR flows)
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure
• Experience with API testing tools (e.g., Postman) or automated testing frameworks (e.g., pytest, Jest, Playwright)
• Understanding of CI/CD pipelines and release management processes
• Prior experience in a customer-facing, QA, support, or implementation role
• Awareness of prompt engineering and the evaluation of LLM outputs
• Qualification in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field (or equivalent practical experience)
• A strong understanding of version control with Git, including branching, merging, and pull request workflows
• Solid understanding of core software engineering principles, including the purpose of separate deployment environments (development, staging, production) and how changes are promoted between them
• Working knowledge of software testing methodologies, including TDD, property-based testing, and common approaches such as unit, integration, regression, end-to-end, and exploratory testing
• Proficiency in feature testing: test case design, structured execution, defect reporting, and verification
• Awareness of Voice AI technologies and platforms, such as ElevenLabs, Twilio, and Amazon Connect, and of core concepts like speech-to-text (ASR), text-to-speech (TTS), and voice agents
• Good understanding of model evaluation, including classification metrics such as accuracy, precision, recall, and F1, and the ability to reason about trade-offs between quality, latency, and cost
• Familiarity with project management and issue-tracking tools such as Jira and Linear
• Familiarity with at least one programming or scripting language (e.g., Python or JavaScript/TypeScript)
• Able to work effectively with AI-assisted development tools such as Claude Code and Codex
• Strong analytical and problem-solving skills, with high attention to detail
• Excellent verbal and written communication skills, with the ability to articulate technical concepts to customers clearly, confidently, and professionally

Qualifications

Must Haves

• Hands-on experience building or configuring solutions with Voice AI platforms such as ElevenLabs, Twilio, or Amazon Connect, or familiarity with telephony concepts (e.g., SIP, WebRTC, IVR flows)
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure
• Experience with API testing tools (e.g., Postman) or automated testing frameworks (e.g., pytest, Jest, Playwright)
• Understanding of CI/CD pipelines and release management processes
• Prior experience in a customer-facing, QA, support, or implementation role
• Awareness of prompt engineering and the evaluation of LLM outputs
• Qualification in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field (or equivalent practical experience)
• A strong understanding of version control with Git, including branching, merging, and pull request workflows
• Solid understanding of core software engineering principles, including the purpose of separate deployment environments (development, staging, production) and how changes are promoted between them
• Working knowledge of software testing methodologies, including TDD, property-based testing, and common approaches such as unit, integration, regression, end-to-end, and exploratory testing
• Proficiency in feature testing: test case design, structured execution, defect reporting, and verification
• Awareness of Voice AI technologies and platforms, such as ElevenLabs, Twilio, and Amazon Connect, and of core concepts like speech-to-text (ASR), text-to-speech (TTS), and voice agents
• Good understanding of model evaluation, including classification metrics such as accuracy, precision, recall, and F1, and the ability to reason about trade-offs between quality, latency, and cost
• Familiarity with project management and issue-tracking tools such as Jira and Linear
• Familiarity with at least one programming or scripting language (e.g., Python or JavaScript/TypeScript)
• Able to work effectively with AI-assisted development tools such as Claude Code and Codex
• Strong analytical and problem-solving skills, with high attention to detail
• Excellent verbal and written communication skills, with the ability to articulate technical concepts to customers clearly, confidently, and professionally

Benefits

• Competitive salary and benefits.
• Hands-on experience with real-world Voice AI products and customer deployments.
• Mentorship and a clear growth path toward a full Forward Deployed / Applied AI Engineer role.
• A collaborative and supportive work culture.