Responsibilities

Design & Development:
– Lead the architecture, design, and implementation of advanced voice processing systems for real-time speech-to-text, natural language understanding, sentiment analysis, and AI-generated summaries.
– Build scalable microservices and APIs to integrate telephony platforms (e.g., Amazon Connect, Twilio) with CRM and contact center systems.

AI & NLP Integration:
– Create and optimize AI models for speech recognition, intent detection, and real-time conversation management.
– Implement generative AI solutions (e.g., OpenAI GPT) for automatic call summarization and post-call documentation.

Performance & Reliability:
– Enhance system performance through monitoring, A/B testing, and tuning to ensure fast, reliable service.
– Partner with data science teams to refine models and boost transcription accuracy and AI-driven insights.

Cross-Functional Collaboration:
– Collaborate with product managers, UX designers, and QA teams to define features and deliver impactful solutions.
– Offer technical guidance and mentorship within an agile, cross-functional team.

Documentation & Best Practices:
– Maintain detailed technical documentation, coding standards, and design best practices.
– Keep up with the latest trends in AI, NLP, and voice tech, and suggest improvements to enhance the platform.

Required Qualifications

Education & Experience:
– Bachelor’s degree or equivalent in Computer Science, Electrical Engineering, or a related field.
– Over 5 years of experience in software engineering, particularly in AI, NLP, or real-time systems.

Technical Expertise:
– Skilled in at least one programming language (e.g., Python, Java, C++).
– Practical experience with speech recognition and real-time transcription tools.
– Strong knowledge of NLP, machine learning, and generative AI.
– Proven ability to design and build scalable distributed systems and microservices.

Systems & Tools:
– Experience with cloud platforms (AWS, Google Cloud, Azure) and container tools (Docker, Kubernetes).
– Familiar with real-time data streaming and API-based integrations.
– Knowledge of AI/ML frameworks (TensorFlow, PyTorch) and NLP libraries (spaCy, NLTK) is a plus.

Preferred Qualifications:
– Advanced degree in Computer Science, AI, or a related field.
– Background in contact center or customer support environments.
– Experience integrating third-party voice services (e.g., Amazon Transcribe, Google Speech-to-Text) and using large language models (e.g., OpenAI GPT) in live systems.
– Familiarity with data pipelines and real-time processing tools (e.g., Kafka, Apache Flink).
– Track record of deploying AI solutions in agile development settings.

Technical Skills:
– Programming: Python, Java, C++ (or similar)
– AI/ML: TensorFlow, PyTorch, or equivalent
– Cloud & Infrastructure: AWS, Google Cloud, Azure; Docker, Kubernetes
– Data Processing: Real-time streaming, API design, microservices
– NLP & Voice: Experience with speech-to-text, NLP libraries, and generative AI

Soft Skills:
– Strong communication skills to clearly explain complex technical topics.
– Team-oriented with a collaborative approach.
– Detail-focused with a commitment to clean, maintainable code.
– Self-driven and able to manage multiple tasks in a fast-paced environment.
– Passionate about innovation in AI and voice technology.

What We Offer

Innovative Work Environment:
– Work on cutting-edge voice AI solutions that transform customer service.
– Join a collaborative, inclusive, and fast-moving team.

Competitive Compensation:
– Competitive salary and full benefits package.
– Flexible work options to support work-life balance.

Professional Growth:
– Access to ongoing training, development, and industry events.
– Opportunity to shape the future of AI-powered customer support.

How to Apply:
If you’re passionate about building real-time AI tools that revolutionize customer service, we want to hear from you.

Join us in shaping the future of customer support with next-generation Voice Co-Pilot and Auto-Pilot solutions!