Full-stack Engineer

• Design and architect large-scale, mission-critical SaaS applications serving tens of thousands of users worldwide
• Build and maintain AI-enabled back-end services, data pipelines, and front-end applications for transcription and customer experience analytics
• Collaborate with data science teams to operationalize NLP, speech-to-text, and LLM models for summarization, sentiment analysis, and semantic search
• Work with both relational and non-relational databases to ensure efficient storage and retrieval of transcription and customer interaction data
• Build and consume REST APIs to enable seamless integration of transcription insights across applications
• Serve as a technical leader: write specifications, propose scalable solutions, and mentor junior developers
• Partner with designers, QA engineers, product managers, and DevOps to deliver high-quality, AI-powered software solutions
• Participate in, contribute to, and occasionally lead Agile ceremonies; adhere to Agile methodologies for timely delivery
• Troubleshoot, debug, and optimize existing applications in a large-scale distributed environment to enhance reliability and performance
• Stay current with advances in AI, NLP, and full stack development to evolve the platform
• Participate in the team on-call rotation to support engineering teams and production environments

Principal Software Engineer

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Full Stack Developer

Software Engineer I

Senior Software Engineer

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