Backend Engineer

About the Role We’re hiring for an early-stage, well-funded Bangalore startup building a next-generation general automation platform powered by AI agents. As a Backend Engineer, you’ll bridge AI and infrastructure—designing scalable services and orchestration layers that enable multi-agent LLM systems to operate reliably across desktop, browser, and mobile environments. You’ll ship production systems fast while getting dedicated time (15–20%) to explore cutting-edge AI research.

What You’ll Do Integrate and optimise multi-agent workflows using LangChain, LangGraph, OpenAI SDK, or similar frameworks Implement custom task-orchestration logic for complex automation pipelines Write production-grade APIs and microservices in Python, TypeScript, Go, or Rust Design and maintain orchestration infrastructure (Kubernetes, Nomad, or equivalent) Build and tune stateful networking layers with Traefik, Envoy, and load-balancers; ensure high-performance VNC/remote-desktop connectivity Deploy and manage cloud infrastructure on GCP/AWS/Azure using Terraform or OpenTofu; author CI/CD pipelines Dedicate 15–20% of your time to exploring LLM fine-tuning, memory architectures, and emerging 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 system design Deep understanding of Kubernetes, Nomad, or similar container orchestration tools Expertise in networking, load-balancers (Traefik/Envoy), and high-performance remote connections (VNC) Familiarity with Terraform/OpenTofu, CI/CD pipelines, and cloud platforms (GCP/AWS/Azure) Excited to work in-person from Bangalore in a fast-paced, collaborative environment

Core Tech Stack: Python · TypeScript · Go · Rust · LangChain · LangGraph · OpenAI SDK · Kubernetes · Nomad · Traefik · Envoy · VNC · Terraform · GCP · AWS · Azure · CI/CD

Why Should You Apply: ₹25–45 LPA + meaningful equity in a well-funded, rapidly growing startup Work at the forefront of AI-powered general automation—bridging AI, computers, and humans A team that prioritises high-quality output over speed, but still ships fast Full ownership of projects and direct contribution to core product architecture 15–20% dedicated time for experimental work with the latest AI frameworks and techniques

Interested? Create your profile at

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