Senior AI Engineer
We are seeking an experienced Senior AI Engineer to join our Video Platforms and Development team. In this role, you will lead the design, development, deployment, and maintenance of AI-powered solutions supporting internal workflows, emerging technologies, and customer-facing applications. You will collaborate closely with cross-functional teams to architect scalable AI systems, mentor engineers, and establish engineering standards and best practices.
Key Responsibilities
Design, develop, and maintain AI/ML solutions for enterprise and production environments.
Train and fine-tune large language and multimodal models using LoRA and other parameter-efficient fine-tuning (PEFT) techniques.
Design, train, and evaluate multimodal AI models from the ground up.
Apply reinforcement learning techniques for model optimization and performance improvement.
Develop AI solutions for audio and speech processing, including speaker diarization and speaker identification.
Deploy, monitor, debug, and maintain distributed AI systems in cloud environments.
Optimize inference performance using TensorRT, quantization, pruning, and related optimization techniques.
Monitor production models, address data drift, and ensure system reliability.
Gather, clean, and curate high-quality datasets for model training and evaluation.
Build and maintain automated testing pipelines, including unit, integration, and component tests.
Collaborate with Product, Engineering, and Operations teams to design scalable AI workflows.
Lead technical initiatives, mentor engineers, and promote AI engineering best practices.
Participate in architecture design using industry-standard methodologies such as the C4 model.
Contribute to long-term technical strategy and AI roadmap.
Required Qualifications
Bachelor's degree in Computer Science, Electrical Engineering, or equivalent professional experience.
Strong experience designing and deploying AI/ML solutions in production environments.
Hands-on experience with:
LoRA and parameter-efficient fine-tuning (PEFT)
Multimodal AI models
Reinforcement Learning (RL)
Audio/Speech AI (speaker diarization, speaker identification)
Experience deploying AI workloads on cloud platforms:
AWS (5+ years preferred)
Azure (working knowledge)
Experience optimizing inference using TensorRT, quantization, and pruning.
Strong Python programming skills.
Experience with distributed systems and scalable AI infrastructure.
Familiarity with Agile development methodologies.
Strong understanding of software architecture and design patterns, including the C4 model.
Experience monitoring production AI systems and handling model lifecycle management.
Preferred Qualifications
Experience with Java, Golang, or JavaScript.
Knowledge of Docker and Kubernetes.
Familiarity with CI/CD pipelines and DevOps practices.
Experience with React, Angular, HTML, CSS, and JavaScript.
Background in broadcast production, media workflows, video platforms, or content management systems.
Strong understanding of industry trends and AI best practices.
Excellent communication, leadership, and mentoring skills.