AI Native Software Engineer

Indexnine Technologies

Pune District

On-site

INR 1,200,000 - 2,000,000

Full time

8 days ago

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Job summary

Indexnine Technologies is seeking AI-native Engineers to 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, and speed, quality, and product thinking matter equally.

Qualifications

  • Experience building APIs (REST/GraphQL).
  • Frontend development with React or similar frameworks.
  • Experience integrating AI/LLMs and AI workflows in production.
  • Understanding of performance, cost, and reliability considerations.

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.

Skills

API development
React
LLM integration
AI workflows
Performance optimization

Tools

Copilot
Cursor
Claude
LangChain
LlamaIndex

Job description

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
  • Experience building APIs (REST/GraphQL)

Frontend

  • React or similar frameworks

AI / LLMs

  • RAG and embeddings exposure
  • Interaction with agents & agentic workflow (Nice to have)

Tools

  • Copilot, Cursor, Claude
  • LangChain, LlamaIndex (Nice to have)

Cloud

  • Deployment and debugging awareness

Core Skills

  • Product thinking and user-focused development
  • 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 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
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