About us
Hear is an innovative startup dedicated to shaping the future of conversational intelligence. We are passionate about AI, technology, and addressing real-world challenges. We uphold high safety standards for our products and foster a collaborative environment with exceptional people.

‍

About the role
We’re looking for a talented Senior Fullstack Engineer to build and maintain Hear’s next-generation web applications. The ideal candidate will have expertise in both front-end and back-end development, with strong experience in NestJS, Next.js, and managing code via Atlassian Bitbucket. Familiarity with MongoDB and other NoSQL databases is essential.

‍

Responsibilities

• Develop and maintain scalable web applications using modern technologies.
• Collaborate with UI/UX designers to implement responsive and engaging interfaces.
• Design and implement robust RESTful APIs and microservices architectures using frameworks like NextJS.
• Build dynamic, server-side rendered applications using Next.js.
• Ensure cross-browser compatibility, performance, and security across applications.
• Manage source code using Atlassian Bitbucket and participate in code reviews and agile development processes.

‍

Requirements

• Minimum 5 years of experience as a Full Stack Developer with expertise in Node.js.
• Strong experience in JavaScript frameworks (e.g., React, Angular, or Vue.js) and back-end languages (Node.js, Python, or Ruby) with a preference for NestJS and Next.js.
• Solid understanding of databases, including SQL and NoSQL (e.g., MongoDB).
• Experience with version control systems, specifically Atlassian Bitbucket, and continuous integration practices.
• Bachelor's degree in Computer Science or a related field.
• Excellent communication skills and a collaborative mindset.

‍

About us
Hear is an innovative early-stage startup dedicated to shaping the future of conversational intelligence. We are passionate about AI, technology, and addressing real-world challenges. We uphold high safety standards for our products and foster a collaborative environment with exceptional people.

About the role
The AI Engineer at Hear will play a critical role in designing, developing, and deploying artificial intelligence solutions that power our innovative products. This position is ideal for candidates passionate about AI/ML who can integrate cutting-edge tools like vLLM and leverage GCP for scalable deployments while ensuring system performance with DataDog.

Responsibilities

• Develop and refine machine learning models for audio processing and related applications.
• Experiment with state-of-the-art algorithms and architectures, including the integration of vLLM for high-performance inference.
• Work closely with cross-functional teams to integrate AI models into end-user applications deployed on GCP.
• Optimize models for efficiency and scalability in production environments, incorporating monitoring with DataDog.
• Stay updated with the latest research and trends in AI/ML to continuously drive innovation.
• Worked with Agents and autonomous AI

‍

Qualifications

• At least 3 years of hands-on experience with machine learning frameworks is required
• Bachelor’s or Master’s degree in Computer Science or a related field with a focus on AI/ML.
• Strong background in data science, statistical analysis, and algorithm development.
• Familiarity with GCP, vLLM integration, and deployment/monitoring of AI systems in production, including the use of DataDog.
• Excellent problem-solving abilities and a passion for innovation.

‍

About us
Hear is an innovative early-stage startup dedicated to shaping the future of conversational intelligence. We are passionate about AI, technology, and addressing real-world challenges. We uphold high safety standards for our products and foster a collaborative environment with exceptional people.

About the role
At Hear, we’re seeking an experienced MLOps/DevOps Engineer to bridge the gap between model development and production. This role focuses on automating machine learning pipelines, deploying scalable infrastructure on GCP, and managing code through Atlassian Bitbucket, while ensuring robust monitoring with DataDog.

Responsibilities

• Design, implement, and maintain robust CI/CD pipelines for ML models and applications.
• Automate deployment and scaling processes using modern DevOps tools (e.g., Docker, Kubernetes, Terraform,Pulumi) on Google Cloud Platform (GCP).
• Integrate and support vLLM and others to optimize ML model deployment.
• Manage source code and version control using Atlassian Bitbucket.
• Implement and monitor performance metrics with DataDog, ensuring high availability and rapid incident response.
• Collaborate with data scientists and software engineers to integrate models into production workflows.
• Implement security best practices in the deployment process.

‍

Requirements

• 3 years of experience with ML lifecycle management and modern DevOps practices.
• Proficiency in programming languages such as Python and shell scripting.
• Hands-on experience with GCP, container orchestration tools, and DataDog for monitoring.
• Familiarity with vLLM integration and Atlassian Bitbucket.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Strong problem-solving skills and the ability to work in a fast-paced environment.