One of our airline clients is looking for highly skilled AI Engineer. You will work exclusively on hands-on development, implementing and optimizing AI models using Python and other necessary tools for creating AI-driven solutions.
Core Responsibilities
System Design & Scalability: Architect highly available, resilient microservices using .NET 8/9. Optimize for high throughput and low-latency inference.
Event Driven Architecture: Good understanding of Event Driven Architecture , catering to both Real time and non - real time needs , using message brokers like Solace, SQS, Kafka, etc.
Familiarity with AWS Serverless architecture.
AI Orchestration & RAG Pipelines: Design the backend logic for Retrieval-Augmented Generation (RAG), managing the lifecycle of vector embeddings, data ingestion, and prompt templating.
MCP Server Engineering: Develop and maintain high-performance MCP servers to standardize data access and tool-calling across multiple LLM providers.
Advanced Data Modeling: Manage complex state transitions and data flows between relational databases (AWS Neptune - Graph Db), vector stores (OpenSearch), and distributed caches (Redis).
API & Protocol Mastery: Define contract-first development standards using SSE and REST, ensuring seamless integration between backend AI services and external consumers
Nice to Have: