Senior Artificial Intelligence Engineer

Description

Need Senior AI engineers with Good communication and Handson skills for a US based client.

As a Senior AI Engineer, you will contribute significantly to the design and development of GenAI services. Your contributions will involve enhancing AI capabilities to ensure scalability and reusability across a diverse set of applications. Your analytical and problem-solving skills will be essential, and we encourage you to leverage your coding knowledge to improve our engineering practices.

Responsibilities

• Contribute to the architecture, design & development of GenAI services that are integral to our product offerings and user experiences.
• Implement coding best practices to foster code modularity, reusability, and maintainability, enabling our AI services to remain flexible for future advancements.
• Collaborate with cross-functional and matrixed teams to integrate AI services into the wider product ecosystem, ensuring a smooth developer experience.
• Assess and optimize existing AI services to enhance performance and conform to the latest industry trends.
• Support and mentor other engineers, contributing to a culture that values technical skill and code quality.
• Stay informed on the latest AI technologies and programming techniques, exploring their
  

Qualifications

• Bachelors degree in Computer Science, Artificial Intelligence, or a related field, or equivalent practical experience.
• 8+ years of experience, with experience in Python and/or GenAI.
• Proficiency in Python for relevant programming languages and frameworks for AI development.
• 2+ years in GenAI, including RAG, LLMs, Sematnic Search, Embeddings, Fine-tuning, etc in production environments.
• Experience with cloud-based platforms (AWS or Azure) for solution delivery.
• Proven ability to develop scalable, reusable software components and services.
• Good knowledge of software engineering principles and architectural standards.
• Experience in working on and contributing to software project teams.
• Good understanding of Machine Learning principles.

Preferred Qualifications

• Experience with cloud-based development and familiarity with AI-related cloud services (AWS or Azure).