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We're hiring on behalf of A1, an AI product team building the next generation of intelligent productivity applications. Their mission is simple: replace repetitive digital work with AI that can reliably complete real tasks on behalf of users.
Rather than building another chatbot, the team is creating long-running AI workflows that manage conversations, coordinate actions, maintain context, and interact with external services—all with minimal user input.
As a Backend Engineer, you'll build the systems that make those experiences possible.
You'll own the backend services that power AI interactions in production, ensuring they remain fast, reliable, and scalable as the platform grows.
Your responsibilities will include:
Designing and building backend services for AI-powered product features
Developing inference pipelines and orchestration layers around LLMs
Creating reliable APIs used by web, desktop, and mobile applications
Optimizing latency, throughput, caching, batching, and streaming
Building monitoring, logging, alerting, and observability across production services
Debugging distributed systems and improving platform reliability
Working closely with product, infrastructure, and AI engineers to continuously improve performance
Strong backend engineering experience in production environments
Experience building high-throughput, low-latency distributed systems
Excellent Python skills (Node.js is a plus)
Hands-on experience deploying and operating services on Kubernetes and Docker
Experience with SQL and NoSQL databases
Familiarity with modern AI infrastructure, including LLM inference, embeddings, or multimodal models
A pragmatic engineering mindset focused on shipping reliable software
Experience with OpenAI, Anthropic, or open-source LLMs
Experience building AI orchestration or agent workflows
Knowledge of inference optimization techniques
Experience operating AI services at scale
Python
Node.js
PyTorch
OpenAI, Anthropic, open-source LLMs
SQL & NoSQL
Kubernetes
Docker
This isn't a traditional backend position.
You'll be working on the infrastructure layer that connects cutting-edge AI models with real users. Your work will directly impact how quickly, reliably, and intelligently the product behaves in production.
If you enjoy solving problems around distributed systems, AI infrastructure, performance, and reliability—and want to build technology used by millions of people—this is an opportunity to work on one of the most technically challenging parts of an AI-native product.
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