Sr Software Engineer (Voice AI / Gen AI / US Timezone / Remote)

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 Qualifications

• Degree 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 Skills

• Programming Languages: Python, Java, C++ (or equivalent)
• AI/ML Frameworks: TensorFlow, PyTorch, or similar
• Cloud & Infrastructure: AWS, Google Cloud, Azure; Docker, Kubernetes
• Data Processing: Real-time streaming frameworks, API design, microservices architecture
• NLP & Voice Technologies: Familiarity with speech-to-text engines, NLP libraries, and generative AI integration

Soft Skills

• Excellent 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!