About ixigo
Launched in 2007 by Aloke Bajpai & Rajnish Kumar, ixigo (Le Travenues Technology Limited) is a technology company focused on empowering Indian travellers to plan, book and manage their trips across rail, air, buses and hotels. ixigo assists travellers in making smarter travel decisions by leveraging artificial intelligence. The ixigo, ConfirmTkt and AbhiBus apps allow travellers to book train tickets, flight tickets, bus tickets, hotels, and cabs, and provide travel utility tools and services developed using in-house proprietary algorithms and crowd-sourced information. With over 54 crore Annual Active Users in Fiscal 2025, ixigo is the leading OTA for Next Billion Users in India. For more information, please visit http://www.ixigo.com
What You’ll Do
Design and build backend systems that power real-time, low-latency AI experiences
Architect and implement agentic AI flows: tool calling, multi-step reasoning, orchestration, memory, and planning
Build and evolve conversational AI systems: dialogue management, context handling, intent routing, fallback design
Own the infra behind AI features: streaming responses, WebSocket/SSE pipelines, queue-based orchestration
Make product-level decisions: you’ll have opinions on what to build, not just how to build it
Work on voice-enabled systems (STT/TTS, streaming APIs) as part of end-user experiences
Deploy and operate services with a focus on low latency, high availability, and robustness
Instrument, monitor, and improve AI systems in production (eval frameworks, latency tracking, cost optimization)
What We’re Looking For
Must Have:
1- 4 years of backend and AI engineering experience.
Strong proficiency in Python
Hands-on experience building with LLMs: prompt engineering, function/tool calling, RAG, embeddings, fine-tuning awareness
Experience with agentic AI patterns: multi-agent orchestration, ReAct loops, planner-executor architectures, or similar
Strong fundamentals in real-time systems
Keen interest in building AI-driven products, particularly voice and conversational experiences
Strong systems design instincts, with a practical mindset for navigating technical tradeoffs
Product thinking: you understand why you’re building something, not just the ticket description
Comfort with ambiguity: AI product development is fast, iterative, and occasionally chaotic
Strong Signals
Built or shipped AI products (voice or text chatbots, copilots, assistants)
Experience designing evaluation and feedback loops for AI systems
Contributed to or built open source developer tools, SDKs, or internal platforms
Bonus
Experience with voice AI / speech-to-text / text-to-speech pipelines
Background in distributed systems, message queues (Kafka, RabbitMQ, Redis Streams)
Exposure to on-device or edge AI inference
Open-source contributions in the AI/ML space
Tech You’ll Likely Touch
LLMs (OpenAI, Anthropic, open-source models), Python/Node.js, Redis, PostgreSQL, WebSockets / SSE, Docker, Kubernetes, vector databases, CI/CD pipelines, observability tools.
What We Value
Ownership — you see a problem, you fix it. You don’t wait for a spec.
Speed with taste — ship fast, but ship something you’d want to use yourself.
Clear thinking — you can explain a complex system in simple terms.
Curiosity — the AI landscape moves weekly. You keep up because you want to, not because you have to.
Candidates are responsible for safeguarding sensitive company data against unauthorized access, use, or disclosure, and for reporting any suspected security incidents in line with the organization's ISMS (Information Security Management System) policies and procedures.
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