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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.

AI Native Software Engineer

Job Description

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