Founding Product Engineer

Airawath; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Airawath is seeking a Founding Product Engineer with broad full-stack & applied‑AI expertise to own features from discovery to production impact. You will work directly with the founders across frontend, backend, databases, cloud and AI workflows to build end‑to‑end solutions.

You’ll ship rapid prototypes, evaluate performance, and scale successful experiments. Strong experience with Next.js, React, TypeScript, Python, FastAPI, PostgreSQL and AWS is required, plus hands‑on delivery of production

Qualifications

• 3–6 years of professional full-stack or product-engineering experience.
• Founding Engineer or early-stage startup experience with ownership of product features.
• Proven ownership of at least one production feature across database, backend API, frontend and deployment.
• Production experience with React and TypeScript; strong Python backend experience.

Responsibilities

• Build and ship AI-powered product features end-to-end across frontend, backend, database, AI workflows and cloud infrastructure.
• Develop production frontend applications using Next.js, React and TypeScript.
• Design and build scalable backend services using Python and FastAPI.
• Design PostgreSQL schemas, relationships, migrations, indexes and optimized queries.
• Build and integrate LLM applications, RAG pipelines, AI agents and workflow-automation systems.
• Integrate APIs from OpenAI, Anthropic, Gemini or other leading model providers.

Skills

Full-stack engineering

Python

FastAPI

React

TypeScript

Next.js

AWS

Docker

CI/CD

LLM APIs

RAG

AI workflows

PostgreSQL

Tools

Docker

AWS

CI/CD

PostgreSQL

LangChain

LlamaIndex

Job description

We are looking for a Founding Product Engineer with strong full-stack and applied-AI experience.

About the Role

Frontend, backend, databases, cloud, AI agents and evaluations—you should be comfortable moving across the complete product stack because real product problems do not respect technical boundaries. You will work directly with the founders and take ownership of features from problem discovery to production impact. There are no long approval chains or narrowly defined responsibilities. You identify what matters, build it, ship it, measure the outcome and improve it. Prototype quickly. Ship thoughtfully. Measure what changed. If it works, scale it. If it does not, learn and try something better. This is not a role for someone who wants to work exclusively on frontend, backend or AI models. We need a product engineer who can own the complete system.

Responsibilities

• Build and ship AI-powered product features end-to-end across frontend, backend, database, AI workflows and cloud infrastructure.
• Develop production frontend applications using Next.js, React and TypeScript.
• Design and build scalable backend services using Python and FastAPI.
• Design PostgreSQL schemas, relationships, migrations, indexes and optimized queries.
• Build and integrate LLM applications, RAG pipelines, AI agents and workflow-automation systems.
• Integrate APIs from OpenAI, Anthropic, Gemini or other leading model providers.
• Develop evaluation systems to measure AI accuracy, reliability, latency, cost and business impact.
• Personally deploy, monitor and support applications in production using AWS, Docker and CI/CD.
• Work directly with founders, users and internal teams to identify real operational problems.
• Build rapid prototypes, validate them with users and convert successful experiments into reliable production systems.
• Use AI development tools such as Cursor, Claude Code, Codex, Windsurf or similar tools to increase development speed.
• Set clear product metrics and measure whether your work improved conversion, engagement, efficiency, revenue or customer experience.
• Troubleshoot production issues and remain accountable until the problem is resolved.
• Explain technical decisions and product outcomes clearly to non-technical stakeholders.
• Contribute to product, architecture and engineering decisions as an early member of the team.

Qualifications

• 3-6 years of professional full-stack or product-engineering experience.
• Previous experience as a Founding Engineer, early-stage startup engineer or engineer with clear zero-to-one product ownership.
• Proven ownership of at least one production feature across database, backend API, frontend and deployment.
• Production experience with React and TypeScript.
• Hands-on experience with Next.js is strongly preferred.
• Hands-on experience with FastAPI; Django or Flask may be considered if Python backend experience is strong.
• Strong PostgreSQL experience, including schema design and database migrations.
• Experience deploying and maintaining applications on AWS or an equivalent cloud platform.
• Hands-on experience with Docker and CI/CD pipelines.
• Experience personally shipping applications to production rather than handing them entirely to a DevOps team.
• Experience integrating LLM APIs such as OpenAI, Anthropic or Gemini.
• Experience building production AI features such as RAG systems, AI agents, intelligent workflows or automation pipelines.
• Strong ownership, problem-solving and communication skills.

Required Skills

• This is a Python backend role. Candidates whose backend experience is limited to Node.js, Express.js or the MERN stack will not be considered.

Preferred Skills

• Voice AI, speech-to-text, text-to-speech or real-time systems experience.
• Experience with LangChain, LangGraph, LlamaIndex or similar agent frameworks.
• Experience with vector databases, embeddings, hybrid search or GraphRAG.
• Experience building AI evaluation, observability or feedback systems.
• Stripe, payment-gateway or subscription-system experience.
• Experience building workflow automation, operations platforms or event-technology products.
• Experience working directly with customers, sales, service or operations teams.
• Experience with Redis, queues, event-driven systems or microservices.
• Experience with AWS ECS, EC2, RDS, S3, Lambda and CloudWatch.

Pay range and compensation package

Equal Opportunity Statement