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

- Robust 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

📌 Sr. Software Engineer (Backend Applied AI) (Gurugram)
🏢 ixigo
📍 Gurugram