Back to jobs

AI-native Software Engineer Location: Pune, India

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 workplace 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
Solid full-stack fundamentals
LLM integration and debugging
AI workflows and automation understanding
Performance, cost, and reliability awareness

Experience Bands 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 rapid-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

📌 Ai Native Software Engineer Pune
🏢 indexnine technologies
📍 Pune