VAYUZ Technologies - Artificial Intelligence Engineer - LLM/RAG

Description :

- Production Application Developmen : Lead the end-to-end lifecycle of LLM applications, transitioning functional prototypes into robust, scalable, and resilient production systems.

- LLM API Integration & Orchestration : Design and implement robust integrations with various LLM APIs (e.g., OpenAI, Anthropic, internal models), optimizing performance, cost, and reliability.

- Prompt Engineering & Optimization : Develop, test, and refine advanced prompt engineering techniques to ensure accurate, relevant, and reliable model outputs tailored to specific business use cases.

- Context Management & RAG Implementation : Implement strategies for effective context management, including Retrieval-Augmented Generation (RAG) systems, vector databases, and memory structures to enhance model relevance and accuracy.

- Output Validation & Quality Assurance : Establish rigorous validation frameworks to automatically check and verify LLM outputs against predefined constraints, minimizing hallucinations and ensuring compliance with quality standards.

- AI Security & Risk Mitigation : Implement robust security protocols to protect against adversarial attacks, specifically focusing on prompt injection, indirect prompt injection, and SQL injection vulnerabilities within the LLM application stack.

Required Skill set :

- Demonstrated ability to design, develop, and deploy machine learning models using Python and relevant libraries such as TensorFlow, PyTorch, and scikit-learn.

- Proven experience in building and maintaining scalable AI pipelines using cloud platforms like AWS, Azure, or GCP.

- Strong understanding of statistical modeling, machine learning algorithms, and deep learning techniques.

- Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

- Experience with data visualization tools such as Tableau or Power BI is a plus.

- Ability to work independently and as part of a team in a fast-paced, dynamic environment.

(ref:hirist.tech)