Senior AI Engineer

As a Senior AI Engineer at Mursion, you’ll be responsible for developing and maintaining AI-driven real-time speech-to-speech agents. Your role involves collaborating with cross-functional teams to deliver impactful features, optimizing AI infrastructure, monitoring models in production, and conducting research to explore new AI methodologies.

Candidates for the Senior AI Engineer position at Mursion should have at least 8 years of experience as a software engineer, strong programming skills in languages such as Python or Java, and a solid understanding of machine learning frameworks. Hands-on experience with AI agent frameworks and cloud platforms is also preferred.

At Mursion, Senior AI Engineers work with large language models, voice synthesis, automatic speech recognition, and real-time technologies. Familiarity with machine learning libraries like TensorFlow or PyTorch and experience with tools for continuous integration and deployment is also beneficial.

Mursion promotes a collaborative atmosphere by encouraging cross-functional teamwork. As a Senior AI Engineer, you will work closely with data scientists, software engineers, and product managers to understand requirements, share insights, and deliver AI-driven solutions that align with the company's strategy.

Senior AI Engineers at Mursion enjoy a robust benefits package that includes full medical, dental, and vision insurance, 401k programs, paid holidays, and flexible PTO. Additionally, you’ll be part of a mission-driven team dedicated to innovative solutions in a fully remote working environment.

When answering, focus on your specific experiences implementing and optimizing large language models. Discuss the types of projects you've worked on, the frameworks you used, and the challenges you overcame. Highlight measurable outcomes from your work, such as improved efficiency or user experience.

Showcase your hands-on experience by describing the real-time AI applications you developed. Be specific about your role in the project, the technologies you used, and the impact these applications had on users or the organization. Providing concrete examples will strengthen your response.

Discuss your approach to monitoring and maintaining AI models, including the methods and tools you use for evaluation. Highlight the importance of continuous testing, validations, and feedback loops to ensure that the models remain effective and relevant as they face new data or users.

Talk about your strategies for professional development, such as attending conferences, participating in online courses, reading industry-leading publications, or being involved in AI-focused communities. Mention how you have integrated new learnings into your past projects.

Provide a detailed account of a specific challenge, outlining the problem, your analysis, the steps you took to address it, and the results. Emphasize your problem-solving skills and ability to work under pressure to deliver effective solutions.

Share your relevant experiences, detailing any specific projects where you worked with ASR systems. Discuss the architecture, the tools you used, and the overall outcomes. Highlight any unique implementations or optimizations you made during development.

Explain your method for task prioritization, possibly using examples from past experiences. Mention the importance of communication and collaboration with teams to align on priorities and deliver around timelines.

Outline the AI agent frameworks you've worked with, discussing specific projects and the roles these frameworks played. Focus on how they aided in achieving project goals and improving performance.

Emphasize the importance of effective communication, understanding user needs, and how you incorporate collaborative insights into your work as a Senior AI Engineer. Share an example of a successful collaborative project.

Share your insights by mentioning qualities such as teamwork, adaptability, innovative thinking, and strong communication. Provide personal examples reflecting how these qualities have contributed to your success in past roles.