Job Summary: We are seeking an cutting-edge and experienced AI Engineering Lead to spearhead the development and implementation of production AI/ML systems. The ideal candidate will possess a strong background in LLM architecture, prompt engineering, and evaluation frameworks, along with a proven ability to lead teams effectively. This role requires a strategic thinker who can optimize costs while ensuring high-quality AI observability and performance.
Responsibilities:
- Lead the design and implementation of AI/ML systems, focusing on large language models (LLMs) and their applications.
- Oversee prompt engineering processes to enhance model performance and user experience.
- Develop and maintain evaluation frameworks to assess the effectiveness and efficiency of AI solutions.
- Implement AI observability practices to monitor system performance and ensure reliability.
- Drive cost optimization initiatives across AI/ML projects without compromising quality.
- Collaborate with cross-functional teams to align AI strategies with business objectives.
- Mentor and lead a team of AI developers, fostering a culture of innovation and continuous improvement.
- Stay updated with the latest advancements in AI/ML technologies and methodologies.
- Communicate project status, risks, and opportunities to stakeholders effectively.
Mandatory Skills:
- Proven expertise in AI/ML implementation, with a strong focus on production systems.
- Deep understanding of LLM architecture and its practical applications.
- Experience in prompt engineering and developing effective evaluation frameworks.
- Strong programming skills in Python, with a focus on AI/ML libraries and frameworks.
- Demonstrated ability to lead and manage teams in a fast-paced environment.
- Knowledge of AI observability tools and techniques.
- Strong analytical and problem-solving skills, with a focus on cost optimization.
Preferred Skills:
- Familiarity with cloud-based AI/ML platforms and services.
- Experience with data engineering and data pipeline development.
- Knowledge of ethical AI practices and compliance standards.
- Experience in Agile methodologies and project management tools.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Relevant certifications in AI/ML or related technologies are a plus.