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
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Design and build backend systems that power real-time, low-latency AI experiences and distributed systems
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Build AI-powered features and production-grade agentic workflows.
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Build async and event-driven systems using queues, workers, WebSockets, or streaming
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Build and evolve conversational AI systems: dialogue management, context handling, intent routing, fallback design
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Own the infra behind AI features: streaming responses, WebSocket/SSE pipelines, queue-based orchestration
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Make product-level decisions: you’ll have opinions on what to build, not just how to build it
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Work on voice-enabled systems (STT/TTS, streaming APIs) as part of end-user experiences
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Deploy and operate services with a focus on low latency, high availability, and robustness
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Instrument, monitor, and improve AI systems in production (eval frameworks, latency tracking, cost optimization)
Skills required
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3-4 years of software engineering experience
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Strong proficiency in Node.js, Python, TypeScript, REST APIs, GraphQL, and backend architecture
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Strong understanding of databases, caching, async processing, and system design
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Experience integrating LLMs and building Agentic AI powered products
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Hands-on experience building with LLMs: prompt engineering, function/tool calling, RAG, embeddings, fine-tuning awareness
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Experience in building AI-driven products, voice and conversational experiences
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Strong systems design instincts, with a practical mindset for navigating technical tradeoffs
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Product thinking: you understand why you’re building something, not just the ticket description
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Comfort with ambiguity: AI product development is fast, iterative, and occasionally chaotic
Strong Signals
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Built or shipped AI products (voice or text chatbots, copilots, assistants)
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Experience designing evaluation and feedback loops for AI systems
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Open-source contributions or strong personal projects
What We Value
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AI-native engineering mindset with full-stack execution ability
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Strong ownership and ability to drive projects independently
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Curiosity for AI and modern engineering practices
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Clear communication and comfort working in a fast-paced startup environment
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