Website:
altustechsolutions.com
Job details:
Company Description Altus Technology Solutions is focused on the next generation of digital and IT transformation, delivering hardware and software solutions that help organizations accelerate their time to market. The company combines deep technology expertise with a strong commitment to quality, performance, and innovation to create tailored solutions that add measurable value and scale with client needs. Altus Technology Solutions aims to be a “First Choice” partner, providing best-fit customized solutions, ongoing support, and a collaborative business experience. Team members work in an environment that emphasizes technical excellence, customer delight, and seamless client experiences across every engagement.
Role Description The AI Voice Agent Developer is a full-time remote role responsible for designing, building, and maintaining conversational voice applications that integrate with enterprise systems and customer-facing platforms. Day-to-day work includes developing and optimizing voice interaction flows, implementing natural language understanding (NLU) and automatic speech recognition (ASR) models, and integrating APIs and third-party services to support end-to-end conversational experiences. The role involves collaborating with product managers, UX designers, and other engineers to define requirements, refine user journeys, and ensure voice agents align with business goals and accessibility standards. The developer will also monitor performance metrics, troubleshoot production issues, perform model tuning, and contribute to documentation, testing, and continuous improvement of voice solutions.
Qualifications
- Strong programming skills in languages commonly used for AI and backend development (such as Python, JavaScript/TypeScript, or Java) and experience with RESTful APIs and microservices.
- Hands-on experience with conversational AI platforms or voice technologies (for example Dialogflow, Amazon Lex, Microsoft Bot Framework, custom NLU pipelines, or telephony/VoIP integration).
- Knowledge of machine learning or NLP concepts relevant to voice applications, including intent recognition, entity extraction, speech-to-text, and text-to-speech integration.
- Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud) and related services for deploying, scaling, and securing AI voice agents.
- Proficiency in software engineering best practices, including version control (Git), automated testing, CI/CD pipelines, logging, and performance monitoring.
- Ability to collaborate effectively in cross-functional remote teams, communicate clearly with technical and non-technical stakeholders, and translate business requirements into technical solutions.
- Understanding of user experience principles for conversational interfaces, including dialogue design, error handling, and accessibility considerations.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience; prior experience developing production-grade conversational or voice-based applications is highly beneficial.
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