Ai Engineer

AI engineer

Location: Remote.

Ai Engineer: Need AI engineer with ability to build Agentic and RAG solutions. Required to build and train Contextual AI using existing data with necessary safe guards.

AI Engineer

Join our innovative team as an AI Engineer, where you will play a pivotal role in developing and implementing advanced AI solutions. You will be responsible for building and training contextual AI using existing data, ensuring that all solutions are implemented with the necessary safeguards in place. Your work will contribute to the advancement of our AI capabilities, enhancing our product offerings and user experiences.

Responsibilities

• Design, develop, and implement AI solutions, including Agentic and Retrieval-Augmented Generation (RAG) solutions.
• Build and train contextual AI models using existing datasets, ensuring high accuracy and reliability.
• Collaborate with cross-functional teams to integrate AI solutions into our product offerings.
• Implement necessary safeguards to ensure the ethical and responsible use of AI technologies.
• Continuously monitor and improve AI models to maintain high performance and relevance.
• Stay up-to-date with the latest advancements in AI and machine learning to incorporate cutting-edge techniques into our solutions.
• Document AI models, processes, and findings for future reference and team collaboration.
• Participate in code reviews and contribute to the development of best practices for AI engineering.

Requirements

<>Required Skills

• Strong experience as an AI Engineer with a proven track record in building and deploying AI solutions.
• Proficiency in developing Agentic and RAG solutions.
• Expertise in building and training contextual AI using existing data.
• Solid understanding of machine learning algorithms and techniques.
• Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar.
• Strong problem-solving skills and the ability to work independently as well as part of a team.
• Excellent communication skills, with the ability to explain complex AI concepts to non-technical stakeholders.
• A commitment to implementing AI solutions ethically and responsibly.

<>Preferred Skills

• Experience with natural language processing (NLP) and computer vision.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
• Knowledge of data engineering practices and tools for data preprocessing and management.
• Experience with DevOps practices and tools for deploying AI models in production environments.
• Strong understanding of ethical considerations and best practices in AI development.
• Ability to work in a remote environment and manage time effectively.

``` This job description provides a comprehensive overview of the AI Engineer role, detailing the responsibilities and required and preferred skills based on the provided draft.