Speech AI Application Engineer

2 months ago

Bangalore, India gnani.ai Full time

Job Description: Speech AI Application Engineer Overview: We are seeking a highly skilled Speech AI Application Engineer to join our team, specializing in building and optimizing backend solutions for AI-driven speech processing applications. The ideal candidate will have expertise in backend technologies, containerization, and be proficient in debugging and optimizing Python applications. If you have a passion for developing scalable and efficient applications in the speech AI space, this role is for you. Key Responsibilities: Develop and maintain backend systems using Python (3+) and frameworks such as FastAPI or Flask . Ensure application scalability and reliability using Gunicorn or Uvicorn . Design and optimize SQL and No-SQL databases for efficient data storage and retrieval. Work with Redis and other caching databases to improve application performance. Manage message queues like RabbitMQ or similar for efficient task handling. Build and deploy applications in Docker containers, following containerization best practices. Collaborate with the DevOps team to manage container orchestration and ensure smooth deployment workflows. Use Git for version control and participate in code reviews to maintain clean, modular code. Debug, troubleshoot, and resolve issues in Python applications and backend services. Follow standard modular and clean code practices to maintain the quality and sustainability of codebases. Collaborate with cross-functional teams, including speech scientists and machine learning engineers, to support backend tasks related to speech processing. Qualifications: 3+ years of experience in backend development, particularly using Python3 . Hands-on experience with SQL and No-SQL databases. Proficiency in building REST APIs using FastAPI , Flask , or similar frameworks. Expertise in managing backend servers using Gunicorn / Uvicorn . Experience with Docker and containerization . Strong debugging skills and the ability to solve issues in Python applications and backend systems. Familiarity with Redis , caching databases , and message queues such as RabbitMQ . Proficient understanding of Git and version control best practices. Understanding of modular programming principles and clean code methodologies. Knowledge of speech processing and speech-related backend tasks is a plus. Good to Have: Experience with speech AI and speech processing pipelines . Familiarity with machine learning models and speech-related tasks in a production environment. Benefits: Opportunity to work on cutting-edge Speech AI applications. Collaborative work environment with opportunities for growth and development. Exposure to the latest technologies in the AI and Speech Processing space. Join us and contribute to transforming the future of Speech AI applications

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