AI Native Software Engineer

Back to jobs AI-native Software Engineer We are looking for AI-native Engineers who can build applications using AI and full-stack technologies, leveraging modern tools like Copilots, Agents, and LLMs to deliver production-ready solutions. You will work in an environment where: Code is co-created with AI Specs are translated into working systems using AI tools Speed, quality, and product thinking matter equally Responsibilities Build and scale AI-native applications from prototype to production Translate PRDs into working systems using AI-assisted development Design and develop full-stack solutions (frontend, backend, APIs) Integrate LLMs, RAG pipelines, and embeddings into real-world use cases Leverage AI tools (Copilot, Cursor, Claude) to accelerate development Optimize performance, cost, and reliability Requirements Programming & Backend Python (preferred), Node.js / JavaScript Experience building APIs (REST/GraphQL) Frontend React or similar frameworks Basic UI/API integration understanding AI / LLMs LLM APIs (OpenAI, Anthropic) Prompt engineering basics RAG and embeddings exposure Interaction with agents & agentic workflow (Nice to have) Tools Copilot, Cursor, Claude LangChain, LlamaIndex (Nice to have) Cloud AWS / GCP / Azure basics Deployment and debugging awareness Core Skills Product thinking and user-focused development AI-assisted development workflow Strong full-stack fundamentals LLM integration and debugging AI workflows and automation understanding Performance, cost, and reliability awareness Experience Bands 1 3 Years Use AI tools for development and debugging Basic prompt engineering and output evaluation Build small AI features and API integrations 3 6 Years Build end-to-end features independently Work on RAG and AI workflows in production Improve system performance and reliability 6 8 Years Design AI systems and architectures Handle ambiguity and lead technical decisions Mentor team and define best practices Nice to Have Experience working with agent-based systems and agentic workflows Built copilots, internal tools, or automation-driven applications using AI Exposure to fast-paced product or startup environments Experience in building benchmarking frameworks for LLMs (A/B testing, offline and end-to-end evaluation) to measure quality, latency, and cost trade-offs Understanding of LLM proxy patterns including routing, caching, safety filters, and rate limiting across multiple models/vendors Qualifications B.E / B.Tech / M.Tech / MCA Location Pune, India Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.