Sr. Software Engineer (Backend + Applied AI)

The role

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

More 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.