• 📍 Location: Bangalore, in-person only
• 💰 Salary: 25L – 45L annual + 📈 Equity (founding-engineer tracks available)
• ⌛ Experience: 3+ years in infrastructure engineering
• 💻 Skills: Kubernetes, Nomad, Golang, Rust, Python, TypeScript, Networking, Load Balancers (Traefik, Envoy), VNC, Terraform/OpenTofu, CI/CD, GCP/AWS/Azure, LLM frameworks, Multi-Agent Systems, Model Fine-Tuning, Rapid Prototyping

🚀 About the Role

As a Backend Engineer at Runable, you’ll bridge AI and infrastructure to power our next-generation general automation platform. You’ll design and build the scalable services and orchestration layers that enable our multi-agent LLM systems to run reliably across desktop, browser, and mobile environments.

What You’ll Do

• LLM & Agent Services:

  • Integrate and optimize multi-agent workflows using LangChain, LangGraph, OpenAI SDK, or similar

  • Implement custom task-orchestration logic for complex automation pipelines

• Backend Development & Prototyping:

  • Write production-grade APIs and microservices in Python, TypeScript, Go, or Rust

  • Rapidly prototype new features while ensuring performance and reliability

• Infrastructure & Orchestration:

  • Design and maintain our orchestration layer (Kubernetes, Nomad, or equivalent)

  • Optimize scheduling, scaling, and resource allocation for persistent agent instances

• Networking & Remote Control:

  • Build and tune stateful networking layers with Traefik, Envoy, and load-balancers

  • Ensure high-performance VNC/remote-desktop connectivity for browser and mobile agents

• Cloud & DevOps:

  • Deploy and manage infrastructure on GCP, AWS, or Azure using Terraform/OpenTofu

  • Author CI/CD pipelines for seamless delivery and rollback

• Experimental Innovation (15–20% time):

  • Explore cutting-edge LLM fine-tuning, memory architectures, and new agent frameworks

What We’re Looking For

• 3+ years of backend or infrastructure engineering experience
• Proficiency in Python and TypeScript, plus at least one of Go or Rust
• Hands-on experience with LLM frameworks (LangChain, OpenAI SDK, etc.) and multi-agent design
• Deep understanding of Kubernetes, Nomad, or similar orchestration tools
• Expertise in networking, load-balancers, and high-performance remote connections
• Familiarity with Terraform/OpenTofu, CI/CD, and cloud platforms (GCP/AWS/Azure)