Job Title

Responsibilities-----------------Design & Development:Architect, design, and implement robust voice processing pipelines that support real-time speech-to-text transcription, natural language understanding, sentiment analysis, and generative summarization.Develop scalable microservices and API integrations to seamlessly connect telephony systems (e.g., Amazon Connect, Twilio) with CRM and contact center platforms.AI & NLP Integration:Develop and fine-tune AI models for speech recognition, intent detection, and real-time dialogue management.Integrate generative AI (e.g., OpenAI GPT models) for automated call summarization and after-call documentation.Performance & Reliability:Optimize system performance through continuous monitoring, A/B testing, and performance tuning to ensure low-latency, high-availability operations.Collaborate with data science teams to iterate on models and improve transcription accuracy and AI recommendations.Cross-Functional Collaboration:Work closely with product managers, UX designers, and quality assurance teams to define requirements and deliver high-impact features.Provide technical leadership and mentorship within an agile, cross-functional team environment.Documentation & Best Practices:Develop and maintain comprehensive technical documentation, coding standards, and system design guidelines.Stay current with emerging trends in AI, NLP, and voice technologies, and recommend innovations to enhance our platform.Required Qualifications------------------------Education & Experience:Bachelor’s degree or equivalent experience in Computer Science, Electrical Engineering, or a related field.5+ years of software engineering experience, with a strong focus on AI, NLP, or real-time systems development.Technical Expertise:Proficiency in at least one programming language (e.g., Python, Java, or C++).Hands-on experience with speech recognition and real-time transcription technologies.Deep understanding of NLP concepts, machine learning models, and generative AI techniques.Experience in designing and developing scalable distributed systems and microservices.Systems & Tools:Familiarity with cloud platforms (AWS, Google Cloud, or Azure) and containerization/orchestration tools (Docker, Kubernetes).Experience with real-time streaming data frameworks and API-driven integrations.Knowledge of modern AI/ML frameworks (TensorFlow, PyTorch) and NLP libraries (spaCy, NLTK) is a plus.Preferred QualificationsDegree in Computer Science, Artificial Intelligence, or a related discipline.Prior experience working in contact center or customer support environments.Expertise in integrating third-party voice services (e.g., Amazon Transcribe, Google Speech-to-Text) and leveraging large language models (e.g., OpenAI GPT) for live applications.Experience with data pipelines and real-time processing frameworks (e.g., Kafka, Apache Flink).Demonstrated success in agile development environments with a proven track record of deploying AI solutions into production.Technical SkillsProgramming Languages: Python, Java, C++ (or equivalent)AI/ML Frameworks: TensorFlow, PyTorch, or similarCloud & Infrastructure: AWS, Google Cloud, Azure; Docker, KubernetesData Processing: Real-time streaming frameworks, API design, microservices architectureNLP & Voice Technologies: Familiarity with speech-to-text engines, NLP libraries, and generative AI integrationSoft SkillsExcellent communication skills to explain complex technical concepts clearly and concisely.Strong collaborative mindset with the ability to work effectively in cross-functional teams.Detail-oriented and committed to writing high-quality, maintainable code.Proactive, self-motivated, and capable of managing multiple priorities in a fast-paced environment.Passionate about innovating in AI and voice processing technologies.What We Offer---------------Innovative Work Environment:Opportunity to work on groundbreaking voice AI solutions that redefine customer support.Collaborative, dynamic, and inclusive team culture.Competitive Compensation:Attractive salary and comprehensive benefits package.Flexible work arrangements to support work-life balance.Professional Growth:Ongoing opportunities for training, professional development, and attendance at industry conferences.A chance to shape and influence the future of AI-driven customer support technologies.How to Apply:If you’re excited by the challenge of building real-time AI solutions that transform customer support experiences, we’d love to hear from you.Join us in redefining the future of customer support with state-of-the-art Voice Co-Pilot and Auto-Pilot technology!