Sr. Software Engineer (Backend + Applied AI)
Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Nov 13, 2026.
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
We are looking for a Senior Backend Engineer with strong backend engineering skills and experience with AI engineering . You should be comfortable working across the stack, but your core strength should be building scalable backend systems, APIs, and AI-powered product features. You will own features end-to-end, from architecture and development to deployment, monitoring, and support.
Roles & Responsibilities
Design and build backend systems that power real-time, low-latency AI experiences and distributed systems
Build AI-powered features and production-grade agentic workflows.
Build async and event-driven systems using queues, workers, WebSockets, or streaming
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)
Skills required
3-4 years of software engineering experience
Strong proficiency in Node.js, Python, TypeScript, REST APIs, GraphQL, and backend architecture
Strong understanding of databases, caching, async processing, and system design
Experience integrating LLMs and building Agentic AI powered products
Hands-on experience building with LLMs: prompt engineering, function/tool calling, RAG, embeddings, fine-tuning awareness
Experience in building AI-driven products, 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
Open-source contributions or strong personal projects
What We Value
AI-native engineering mindset with full-stack execution ability
Strong ownership and ability to drive projects independently
Curiosity for AI and modern engineering practices
Clear communication and comfort working in a fast-paced startup environment
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.