Backend Engineer, AI (Agent Systems)

Have you ever wished your everyday apps were smarter, truly anticipating your needs instead of waiting for your every command? At Bjak, we're turning that wish into reality. We're building a groundbreaking proactive smart assistant, an AI that seamlessly integrates into your life, bringing intelligence to your conversations, errands, organization, and workflows with minimal effort. This isn't just about a new feature; it's about fundamentally transforming how people interact with technology, making complex tasks simpler and daily life more enjoyable.

Overview

This feels like an exciting time to join Bjak. Our core mission involves creating an AI-native experience for the billions of users still navigating basic, non-AI applications. We envision an intelligent assistant that handles multi-step reasoning, interacts fluidly with external tools, and remains incredibly reliable, even when faced with the inherent non-deterministic nature of model behavior. Our product focuses on achieving high reliability for long-running workflows, maintaining persistent context, and ensuring real-world task completion. We're aiming for nothing less than a ~90% reduction in time users spend on tasks, making their daily routines delightful. This is a fully remote, worldwide opportunity, inviting exceptional talent from across the globe to contribute to our vision.

Key Responsibilities

As a Backend Engineer, AI, you will be at the heart of our system, owning the critical inference and orchestration layer that powers every single AI interaction within our product. Your direct impact will be felt where model capabilities meet user experience, where factors like latency, correctness, reliability, and cost directly shape how our users experience AI.

Design, build, and operate robust backend systems that power our cutting-edge AI features in production environments.
Architect and implement sophisticated inference pipelines and orchestration logic, translating raw model capabilities into stable, observable, and low-latency APIs.
Ensure the seamless integration of our AI models with mobile and desktop clients, providing a consistent and high-quality user experience.
Focus on system reliability, scalability, and performance, building resilient infrastructure capable of handling complex, long-running workflows and non-deterministic model outputs.
Collaborate closely with AI/ML researchers and front-end engineers to bring innovative AI capabilities from research to production.

Requirements

Several years of experience building and operating high-scale, production-grade backend systems.
Proficiency in modern backend languages such as Python, Go, Java, or Rust.
Demonstrated experience with distributed systems, microservices architectures, and cloud platforms (AWS, GCP, Azure).
Solid understanding of API design principles, data structures, and algorithms.
Prior experience with AI/ML systems, particularly in the context of inference serving, orchestration, or agentic architectures involving large language models (LLMs).
A strong commitment to code quality, testing, and operational excellence.
Ability to debug complex production issues across multiple services and systems.
Excellent problem-solving skills and a proactive approach to system design challenges.

What You'll Gain

A unique opportunity to build foundational AI infrastructure that directly impacts millions of users globally.
Work on a product at the cutting edge of AI, addressing novel challenges in agent systems, reliability, and human-AI interaction.
Be part of a dynamic, supportive, and brilliant team passionate about pushing the boundaries of what AI can do.
Significant opportunities for professional growth and learning in a fast-paced, innovative environment.
The flexibility and autonomy that come with a fully remote, global work setting.