Aertrip

Aertrip is redefining the future of travel through AI-driven innovation. We leverage cutting-edge AI/ML, Large Language Models (LLMs), and Agentic AI systems to build intelligent, multimodal, and deeply intuitive travel experiences.

Our AI ecosystem integrates voice, text, visual interfaces, and automation, combining both commercial and open-source technologies to deliver exceptional user experiences at scale. At Aertrip, we are building the next generation of AI-powered travel platforms that impact millions of users.

Role Overview :

We are looking for a hands-on AI Prompt Architect who will design, optimize, and deploy advanced prompt strategies and AI agent workflows. This role focuses on selecting the right LLMs for the right tasks, building collaborative AI agents, and ensuring fast, accurate, and user-friendly outcomes across Aertrip's AI products.

You will work closely with engineering, product, and design teams to ship production-ready AI solutions and MVPs rapidly.

Key Responsibilities :

- Prompt Engineering & LLM Optimization

- Design, craft, and refine high-quality prompts for LLMs such as ChatGPT, Claude, Gemini, DeepSeek, LLaMA, and others

- Optimize prompts for accuracy, performance, and cost-efficiency

- Evaluate and select LLMs based on task suitability, latency, scalability, and output quality

- Agentic AI Architecture

- Build a Master AI Agent capable of breaking down user queries and routing them to specialized agents (Flights, Hotels, Booking, Support, etc.)

- Design and implement a Quality Analyzer Agent to validate outputs against user intent, ensure correctness, and reroute tasks when required

- Continuously improve agent workflows for speed, accuracy, and reliability

- Multimodal & User Experience Integration

- Implement multimodal AI interfaces including voice, text, and video

- Enable multilingual capabilities using third-party plugins and language tools

- Integrate visual AI assistants (e.g., Tavus.io) to enhance user interaction

- Enable GUI + AI fusion, allowing AI agents to visually interact with on-screen elements and workflows

- System & Data Integration

- Connect LLMs with internal databases, APIs, and tools to provide context-aware and personalized responses

- Work with vector databases and retrieval systems to improve AI grounding and relevance

Required Skills & Qualifications :

- 2+ years of experience working with AI, LLMs, or automation systems

- Strong programming skills in Python with experience in APIs and backend integrations

- Hands-on experience with prompt engineering, LLM orchestration, and evaluation

- Familiarity with LangChain, vector databases, embeddings, and retrieval-based systems

- Strong problem-solving mindset and ability to ship MVPs quickly

- Passion for AI, automation, and real-world applications