Job Title: Senior AI Native Engineer We are looking for a Senior AI Native Engineer to build AI-powered products, own design and architecture decisions, and mentor teammates. You will combine strong backend engineering fundamentals with AI-assisted development and practical LLM integration to build secure, scalable, and reliable production systems. Responsibilities
• Own development from architecture and system design through implementation, deployment, and production support.
• Build products from scratch and scale them as usage and business complexity grow.
• Design robust APIs, database models, microservices, and event-driven workflows.
• Build AI-powered capabilities using LLM APIs, retrieval-augmented generation (RAG), tool calling, and agentic workflows where they add product value.
• Use AI tools to accelerate coding, testing, debugging, and documentation while independently owning architectural decisions and validating generated code.
• Make architecture decisions balancing performance, scalability, consistency, security, maintainability, and cost.
• Build distributed systems with fault tolerance, reliable communication, and appropriate data consistency guarantees.
• Implement evaluations, guardrails, and fallback mechanisms to improve the reliability of AI features.
• Improve monitoring, logging, metrics, and alerting across backend services and AI workflows, including response quality, latency, and cost.
• Contribute to CI/CD pipelines, automated testing, containerized deployments, and cloud infrastructure.
• Mentor teammates through design discussions, code reviews, and hands-on technical guidance.
• Collaborate with product and engineering teams and take ownership of delivery and product outcomes. Requirements
• Solid experience building and operating production backend systems.
• Experience in any backend programming language,



with strong engineering fundamentals and openness to working with Java/Golang. Prior Java/Golang experience is not mandatory.
• Solid understanding of design patterns, architectural principles, and system design.
• Hands-on experience with databases, data modeling, query optimization, and API development.
• Experience with event-driven architectures, asynchronous processing, and distributed systems.
• Strong understanding of consistency, concurrency, scalability, and failure handling.
• Practical experience using AI coding assistants, with the ability to explain, review, test, and debug the resulting code.
• Hands-on experience integrating LLM APIs into applications, including prompt design, structured outputs, and tool calling.
• Familiarity with RAG, agentic workflows, and evaluating AI outputs for correctness and reliability.
• Knowledge of application security, authentication, authorization, and secure data handling, including sensitive data used in AI workflows.
• Working knowledge of DevOps basics, including CI/CD, containers, and Kubernetes.
• Experience with cloud platforms, preferably Google Cloud; AWS experience is also acceptable.
• Ability to work independently, communicate technical decisions, and mentor teammates in a remote environment. Preferred Background
• Startup experience building products from 0 to 1 and scaling them from 1 to 100.
• Experience owning architecture and delivering greenfield products.
• Experience shipping AI-powered features used in production, including managing quality, latency, and inference costs.
• Experience implementing safeguards against prompt injection, unreliable outputs, and unintended agent actions.
• Experience in anti-fraud, commercial banking, or growth engineering is a plus.
• Comfort working with ambiguity, taking ownership, and balancing delivery speed with engineering quality. •

📌 Ai Native Engineer (India)
🏢 Shuru
📍 India