Expert, AI Engineer

The Expert AI Engineer will play a pivotal role in leading the development of cutting-edge AI applications, specializing in the creation of RAG agentic systems and the fine-tuning of large-scale LLMs and VLMs. This role will drive the strategic direction of AI initiatives and mentor teams to develop advanced AI capabilities that solve complex business problems.
Key Responsibilities
Lead the development team to project delivery by providing technical guidance throughout the software development lifecycle.
Define AI strategies and work closely with business stakeholders to ensure AI solutions align with organizational goals.
Design and optimization of AI models for scalability, performance, and efficiency.
Provide technical leadership and mentorship to junior and senior AI engineers, fostering a culture of innovation and continuous improvement.
Conduct deep research and development to explore new AI technologies and methodologies.
Oversee the integration of AI solutions with existing business systems and processes, ensuring smooth deployment and operation.
Collaborate with leaderships to define the AI vision and roadmap for the organization.
Qualifications
Education: Bachelor's or Master's or PhD's degree in Computer Science, Artificial Intelligence, or related field.
Experience: At least 5 years of experience in AI and 2 years in management position.
Technical Skills
Programming: Expert-level proficiency in Python.
Frameworks: Advanced expertise in PyTorch and Hugging Face Transformers.
Libraries: Comprehensive experience with LangChain API, LLamaIndex, and database technologies (MongoDB, PostgreSQL, ChromaDB, VespaDB, etc.).
Deployment: Extensive experience with microservices, Docker, and scalable inference endpoint optimization.
Cloud: Deep knowledge of AWS ecosystem, including AWS SageMaker, CDK, and ECS.
Exceptional leadership, strategic thinking, and problem-solving skills.
Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.