AI Engineer LLM Integration & Platform Observability

You are a skilled AI Engineer with 3 to 6 years of experience in LLM integration, platform observability, performance optimization, and API development. Your primary responsibility will involve enhancing critical platform features, including LLM API integrations, observability pipelines, structured search algorithms, and performance scaling for the AI platform and related components. You must have a minimum of 3 to 6 years of experience in AI/ML engineering or platform development. Previous exposure to AI observability or model evaluation pipelines will be beneficial. Your knowledge should include Agentic AI frameworks, multi-step reasoning systems, and programming languages like Python (mandatory) and Node.js/Java (desirable). Your expertise in AI/ML Integration is crucial, with hands-on experience in LLM APIs such as OpenAI and Vertex AI. Understanding observability and logging practices with tools like Splunk, OpenTelemetry (OTel), and Arize AI is necessary. Proficiency in Testing & CI/CD using tools like Postman, PyTest, and Docker Compose is expected. Exposure to structured search techniques using technologies like Neo4j, LightRAG, and Graph DBs is advantageous. You should be familiar with memory profiling, performance optimization, and scaling techniques. Strong knowledge of Cloud Platforms such as GCP (Vertex AI), Azure, or AWS is preferred. Experience with collaboration tools like GitHub, Jira, and Confluence will be an added advantage. If you meet these requirements and are passionate about AI engineering, this role offers a challenging opportunity to work on cutting-edge AI technologies.,