Senior Ai Engineer

Summary

Join Mursion as an AI Engineer and play a crucial role in developing and deploying AI models and systems that power our award-winning upskilling platform. You will work with large language models (LLMs), voice synthesis, and automatic speech recognition (ASR) models, utilizing AI agent frameworks and real-time technologies. Responsibilities include developing real-time speech-to-speech agents, shipping low-latency features, improving AI infrastructure, and collaborating with cross-functional teams. The ideal candidate possesses 8+ years of software engineering experience, expertise in building real-time AI applications, and strong programming skills. Mursion offers a competitive salary ($150K-$170K), full medical, dental, and vision insurance, a 401k program, paid holidays, and flexible PTO.

Requirements

• 8+ years of experience as a software engineer
• Experience building and deploying real-time AI applications
• Strong programming skills in languages such as Python, C++, or Java
• Solid understanding of data structures, algorithms, and statistical methods
• Excellent problem-solving skills and ability to work independently and in a team environment
• Strong communication skills to effectively collaborate with cross-functional teams

Responsibilities

• Develop and maintain AI-driven real-time speech-to-speech agents by collaborating closely with product, design, and research teams
• Ship low-latency, high-impact features that enhance our user experience
• Drive core improvements to our AI infrastructure, including optimizing large language models (LLMs), automatic speech recognition (ASR), and text-to-speech (TTS) pipelines
• Execute on major projects from concept to production, with a focus on delivering impactful features with measurable product outcomes
• Collaborate with data scientists, software engineers, and product managers to understand requirements and deliver AI-driven solutions that meet the needs of our AI strategy
• Preprocess and analyze large datasets to extract meaningful insights and features for model training and evaluation
• Implement and optimize algorithms for performance, scalability, and efficiency
• Monitor and maintain AI models and systems in production, ensuring their accuracy and robustness over time
• Stay up-to-date with the latest advancements in generative AI and machine learning technologies, and integrate them into existing systems
• Conduct research to explore new AI techniques and methodologies that can benefit the organization
• Participate in code reviews, testing, and debugging to ensure high-quality deliverables

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Physics or a related field
• Hands-on experience with AI agent frameworks like LangChain
• Experience with WebRTC
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc
• Experience with natural language processing (NLP), computer vision, or reinforcement learning
• Familiarity with DevOps practices and tools for continuous integration and deployment (CI/CD)
• Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes)

Benefits

• Full medical, dental, and vision insurance
• Paid holidays
• Flexible PTO
• 401k program
• Salary commensurate with experience. The salary range for this position is from $150K-$170k