Sr. Software Engineer (Backend + Applied AI)

Company Description

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

Job Description

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

Qualifications

Additional Information

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.