Senior AI Engineer

Radiansys Inc.; Abu Dhabi Emirate; On-site; AED 183,000 - 219,000; Full time

Job summary

Radiansys Inc. is hiring a hands-on Senior AI Engineer to design, build and productionize enterprise-grade Generative AI/LLM applications in Abu Dhabi. The role emphasizes RAG-based knowledge assistants, multi-agent systems and real-time interactions using WebSockets.

Aviation domain experience is highly preferred, with a focus on flight operations analytics, predictive maintenance and crew optimization. The candidate will work on scalable AI pipelines, model evaluation, and safety controls,

Qualifications

• Proficient in Python and FastAPI.
• Experience with Retrieval-Augmented Generation (RAG).
• Familiarity with LangChain and LangGraph.
• Experience with LLM tool calling and structured outputs.
• Strong prompt engineering skills.
• Experience with vector databases (e.g., Pinecone).
• Redis for caching, sessions, and memory.
• WebSockets or streaming AI responses.

Responsibilities

• Design and productionize scalable AI solutions for enterprise use.
• Build RAG-based knowledge assistants and intelligent chatbots.
• Develop MCP tools and multiple MCP services.
• Create multi-agent systems with task decomposition and context sharing.
• Enable real-time conversational apps using WebSockets.
• Develop predictive models and recommendation systems.
• Advance NLP and Generative AI use cases across domains.
• Implement model evaluation, hallucination monitoring and safety controls.
• Optimize AI pipelines for latency and cost.

Skills

Python

FastAPI

RAG

LangChain

LangGraph

LLM Tool Calling

Prompt Engineering

Vector Databases

Redis

WebSockets

Tools

Pinecone

Job description

Budget: Up to 18,000 AED/month

Candidates currently in India can apply only if willing to relocate to Abu Dhabi.

We are looking for a hands-on Senior AI Engineer who has built and deployed enterprise-grade Generative AI / LLM applications in real production environments.

Experience building AI solutions for the Airline / Aviation domain will be highly preferred, particularly around:

• Flight operations analytics
• Predictive maintenance
• Crew / resource optimization

Mandatory Skills

• Python + FastAPI
• RAG – Retrieval-Augmented Generation
• LangChain and/or LangGraph
• LLM Tool Calling & Structured Outputs
• Prompt Engineering
• Vector Databases such as Pinecone or equivalent
• Redis for caching, session management and conversational memory
• WebSockets / Streaming AI responses

What You’ll Work On

You will design, build and productionize scalable AI solutions including:

• Enterprise LLM-powered applications
• RAG-based knowledge assistants
• Intelligent chatbots and virtual assistants
• MCP tools and multiple MCP services
• Multi-agent systems with task decomposition, context sharing and fallback mechanisms
• Real-time conversational applications using WebSockets
• Predictive models and recommendation systems
• NLP and Generative AI solutions
• AI use cases across airline and enterprise operations
• Model evaluation, hallucination monitoring, bias and safety controls
• AI pipeline scalability, latency and cost optimization