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BJAK - Back End, AI

Role overview

Qualifications

  • 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

Responsibilities

  • 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

About the company

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OnHires

Staffing & Recruiting

Global high-tech Recruitment & Staffing for fast-growing companies We are a global recruitment agency that helps businesses scale by hiring talented tech specialists in 3 weeks. Our Mission To connect great companies with even greater talent. Our Vision To be the leading partner that clients and candidates always choose to connect with. Our Approach We are goals driven team, where culture is more important than formal processes. We have built a work environment that nurtures growth and true teamwork. There is nothing as satisfying as learning and celebrating successes together! Once you get to know us, you’ll know where this drive and energy come from.

Company details

Company typeScaleup
IndustryStaffing & Recruiting
Company size11 - 50

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Job description

Senior Backend Engineer (AI Platform)
Founding AI Engineering Team | Remote | Cash + Equity

Build the backend infrastructure behind an AI-native productivity platform.

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.


What you'll do

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

We're looking for someone who has

  • 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

Nice to have

  • 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

Tech stack

  • Python

  • Node.js

  • PyTorch

  • OpenAI, Anthropic, open-source LLMs

  • SQL & NoSQL

  • Kubernetes

  • Docker

Why this role is interesting

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.

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
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