Artificial Intelligence Engineer

Key Responsibilities:

• Production Application Development: 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...