We are looking for a motivated Applied AI
Specialist to join our growing Voice AI team. This role suits candidates who
combine a solid grounding in software engineering fundamentals with strong
testing discipline and a customer-focused mindset. You will initially own
feature testing and quality assurance for our Voice AI products, which are
built with platforms such as ElevenLabs, Twilio, and Amazon Connect, and grow
into a Forward Deployed Engineer (FDE) role, configuring, deploying, and
iterating on AI solutions directly with customers. Clear, confident
communication is central to this role, as you will regularly engage with
customers and be expected to articulate technical concepts in a simple and
professional manner. You will work under the guidance of senior team members
and gain hands-on experience across the full lifecycle of applied AI products,
from development through to production
• 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.
• Voice AI agents and conversational automation.
• Audio recording, transcription, and conversation
analytics features.
• Customer-facing AI deployments, integrations, and
automation initiatives.
Requirements
• 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.
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.
Skills Required
- Hands-on experience with Voice AI platforms (ElevenLabs, Twilio, Amazon Connect) or telephony concepts (SIP, WebRTC, IVR).
- Familiarity with cloud platforms (AWS, Google Cloud, or Azure).
- Experience with API testing tools (Postman) or automated testing frameworks (pytest, Jest, Playwright).
- Understanding of CI/CD pipelines and release management.
- Prior customer-facing, QA, support, or implementation experience.
- Awareness of prompt engineering and evaluation of LLM outputs.
- Qualification in Computer Science, Software Engineering, AI, Data Science, or equivalent practical experience.
- Proficiency with Git (branching, merging, pull request workflows).
- Working knowledge of software testing methodologies (TDD, property-based testing, unit/integration/end-to-end/regression testing).
- Proficiency in feature testing: test case design, execution, defect reporting, verification.
- Understanding of ASR, TTS, voice agents and Voice AI concepts.
- Understanding of model evaluation metrics (accuracy, precision, recall, F1) and trade-offs (latency, cost).
- Familiarity with project management and issue-tracking tools (Jira, Linear).
- Familiarity with at least one programming/scripting language (Python or JavaScript/TypeScript).
- Able to use AI-assisted development tools (Claude Code, Codex).
What We Do
DASH BPO, LLC is a global leader in delivering best-in-class first party solutions for its strategic partners. Specializing in Customer Care, Sales, Collections, Quality Assurance, Verification, and Technical Support, the company operates as an extension of its clients to ensure brand protection and a superior customer experience. It is COPC certified and serves sectors including financial services, healthcare, automotive, technology, and telecommunications.
