backend engineer

• Design, develop, and maintain backend services and APIs in Go
• Build and optimize microservices that power AI agent orchestration and execution
• Develop integrations with internal systems and third-party APIs (including LLM provider APIs)
• Write Python scripts and services for tooling, data pipelines, and automation workflows
• Deploy and manage containerized services using Docker and Kubernetes on GCP
• Design data models and work with SQL and NoSQL databases
• Collaborate with DevOps on CI/CD, deployment strategies, and infrastructure needs
• Participate in code reviews, architecture discussions, and sprint planning
• Write tests, handle errors properly, and build systems that fail gracefully
• Troubleshoot and debug production issues across backend services and infrastructure, * Build the backend engine for an AI agent platform at a global semiconductor company
• Join a small, high-autonomy team where your code ships fast and your voice matters
• Collaborate directly with engineering leadership - no layers of bureaucracy
• Work with cutting-edge AI agent orchestration and LLM integration patterns
• On-site role at our Bangalore office with a collaborative, in-person team culture

• 2-5 years of professional backend development experience
• Strong proficiency in Go (Golang) - you've built and shipped production services in Go
• Solid Python skills for scripting, automation, and secondary service development
• Experience designing and building RESTful and/or gRPC APIs
• Hands-on experience with Docker and Kubernetes (deploying, scaling, debugging)
• Working knowledge of Google Cloud Platform (GKE, Cloud Run, Pub/Sub, Cloud SQL, or similar)
• Experience with SQL databases (PostgreSQL, MySQL, or Cloud SQL) and basic data modeling
• Understanding of concurrency patterns, error handling, and writing testable code
• Familiarity with Git workflows, branching strategies, and code review practices
• Comfortable working in a fast-paced, iterative environment where priorities shift

Nice to Have

• Experience with Rust (or strong interest in learning it)
• Familiarity with message queues and event-driven architectures (Pub/Sub, Kafka, NATS)
• Exposure to LLM APIs and AI agent frameworks (LangChain, LangGraph, or similar)
• Experience with monitoring and observability tools (Prometheus, Grafana, OpenTelemetry)
• Background in enterprise software, B2B platforms, or high-throughput systems
• Experience building SDKs, CLIs, or developer tooling