AI Native Software Engineer

Why Indexnine?

We believe that great people build great products. That’s why we’ve created an environment where talent thrives.

Health & Wellness

Comprehensive health, dental, and vision insurance, plus wellness programs and mental health support.

Work-Life Balance

Flexible working hours, remote work options, and unlimited PTO to maintain a healthy work-life balance.

Professional Growth

Continuous learning opportunities, conference attendance, and skill development programs.

Collaborative Culture

Work with talented, passionate people in an inclusive and supportive environment.

Competitive Compensation

Competitive salaries, equity participation, and performance-based bonuses.

Innovation & Impact

Innovation-driven projects with new technologies, open-source contributions, and real-world impact.

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