Senior Ai Engineer

Summary

Join Mursion, an award-winning upskilling platform company, as a Senior AI Engineer. Lead the development and deployment of advanced AI models and systems for real-time conversational agents. You will create and implement cutting-edge AI models and algorithms, develop AI-powered applications, and integrate AI capabilities into existing software. Collaboration with various teams is crucial. Optimize AI systems for high performance and scalability, while staying current with advancements in AI technologies. Leverage LLMs, voice synthesis, and ASR to build intelligent agents. This role requires a strong focus on technical excellence and product impact, driving meaningful business outcomes.

Requirements

• 8+ years of experience as a Machine Learning Engineer, AI Engineer, or a related role
• Proven experience developing and deploying ML/AI capabilities into production for real users
• Strong programming skills in Python and/or JavaScript/TypeScript. Expertise in one and willingness to learn the other is essential
• Deep understanding of core MLOps and modern software architecture for ML-based applications
• Proficiency in data structures, algorithms, and statistical methods
• Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Familiarity with cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes)
• Knowledge of DevOps practices and CI/CD pipelines
• Strong data intuition with the ability to make informed decisions based on data insights
• Product-minded, with a focus on delivering solutions that meet user needs and drive business impact
• Enthusiastic about applying AI to solve real-world business problems

Responsibilities

• Develop and maintain AI-driven, real-time speech-to-speech conversational agents
• Build low-latency, high-impact features that enhance user experiences and align with product goals
• Optimize AI pipelines, including LLMs, ASR, and text-to-speech (TTS) systems, for performance and scalability
• Work closely with product, design, and research teams to ensure AI capabilities meet user needs and product objectives
• Partner with data scientists, software engineers, and product managers to identify and prioritize impactful features
• Analyze large datasets to extract meaningful insights for model development and evaluation
• Demonstrate a strong intuition for leveraging data to address user needs and product challenges
• Implement and optimize machine learning algorithms for performance and scalability
• Monitor, maintain, and improve AI systems in production to ensure reliability, accuracy, and robustness
• Stay current with advancements in generative AI and machine learning to incorporate innovative solutions into our systems
• Collaborate on defining and tracking success metrics for AI features
• Ensure that AI solutions directly contribute to measurable product outcomes and user satisfaction
• Explore and implement emerging AI techniques and methodologies to maintain a competitive edge
• Participate in code reviews, testing, and debugging to uphold high-quality deliverables

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Physics, or a related field
• Experience with natural language processing (NLP), computer vision, or reinforcement learning

Benefits

• Full medical, dental, and vision insurance
• Paid holidays
• Flexible PTO
• A 401k program