Senior AI Engineer

Veroke is a job website that connects professionals with opportunities in technology and innovation-driven roles. The platform focuses on providing a streamlined experience for candidates seeking positions such as Senior AI Engineer, emphasizing skills alignment and career growth. While the specific industry and website details are not provided, Veroke appears to operate within a space that values expertise and forward-thinking approaches. The company’s offerings suggest an emphasis on quality candidate experiences and meaningful employment connections. As a job platform, Veroke aims to bridge the gap between skilled professionals and organizations in need of specialized talent, supporting both individual career advancement and business growth through strategic hiring practices.

Hiring: Senior AI Engineer Experience Required: 5+ Years Language: Arabic (must) with Professional English Key Responsibilities Build agentic workflows using LangGraph, LangChain, tool calling, and RAG. Develop scalable backend services using Python, FastAPI, and asynchronous programming. Implement real-time AI streaming using WebSockets and SSE. Design event-driven systems using message brokers and background workers. Manage Docker, CI/CD, automated testing, LLM evaluations, and observability. Optimize AI systems for reliability, security, latency, and cost. Conduct code reviews and mentor engineering team members. Requirements 5+ years of software engineering experience, including 2+ years building production-grade LLM applications. Strong expertise in Python, FastAPI, REST APIs, distributed systems, and software architecture Hands-on experience with LangGraph, LangChain, RAG, PostgreSQL, Redis, and vector databases. Familiarity with Docker, CI/CD, WebSockets, and event-driven architecture. Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience. Arabic (must) and professional English proficiency, both written and spoken. Show more

A senior AI engineer specializes in designing, developing, and maintaining advanced artificial intelligence systems. They collaborate with cross-functional teams to integrate machine learning models into production environments.