AI Engineer with Python

The role focuses on developing AI solutions using Python and JavaScript/TypeScript with modern agent orchestration frameworks such as LangGraph and LangChain., Design and develop AI agents using LangGraph, LangChain, or similar frameworks. Build multi-agent workflows, tool integrations, and RAG solutions. Develop AI services and APIs using Python and JavaScript/TypeScript. Integrate AI agents with Java Spring Boot micro-services through REST APIs and event-driven architectures. Design prompts, tool-calling workflows, memory, and agent orchestration. Build reliable, scalable, and production-ready AI applications. Required Technical Skills Python (required++) JavaScript / TypeScript Java Spring Boot (optional) LangGraph (required++) LangChain (required ++) OpenAI, Claude, Gemini, or similar LLMs (anyone is ok) Prompt Engineering Tool Calling / Function Calling RAG Vector Databases (Pinecone, pgvector, Weaviate, ChromaDB, FAISS, or similar) REST APIs Docker Kubernetes Git Integrate AI agents with Java Spring Boot micro-services through REST APIs and event-driven architectures. Additional Skills Plus MCP (Model Context Protocol) or AI tool integration. Agent evaluation, tracing, and observability. Experience building production AI applications at scale. Airline or travel industry experience.

5+ years of software development experience. 2+ years Agentic AI Development experience, hands-on experience building AI agents using LangGraph, LangChain, Semantic Kernel, or similar frameworks. Strong understanding of prompt engineering, tool calling, agent orchestration, and LLM workflows Strong proficiency in Python and JavaScript/TypeScript Good working knowledge of Java and Spring Boot Strong understanding of microservices architecture, distributed systems, REST APIs, and event-driven design. Experience integrating AI solutions with enterprise applications.