Full Stack AI

Full-Stack Product Engineer, AI

Location — Hyderabad, India (Hybrid)

Employment type — Full-time

Experience — ~3–6 years, or a body of shipped work that speaks for itself

Compensation — Competitive with market

ABOUT AIRAWATH

Airawath is an AI-powered e-invitation and event platform. People describe

the celebration they’re planning; we generate the invitation design, deliver

it over SMS, email, and push, track RSVPs, and run the gift registry around

it. Elie, our recommendation layer, helps guests find the right gift.

We’re a growing in-house engineering team working directly with the founders.

ABOUT THE ROLE

Problems here don’t arrive divided into frontend and backend tickets. You’ll

own features end to end — understand the user problem, design the schema,

build the APIs and the interface, integrate the AI layer, deploy it, and

measure whether it changed anything. You’ll own systems rather than a queue,

and you’ll have the latitude to decide how they get built.

RESPONSIBILITIES

In your first year you’d likely own two or three of these outright:

• AI invitation generation. The text-to-image pipeline behind every design —

prompt construction, model selection, cost and latency per generation, and

the eval loop that tells us whether output quality actually moved.

• Notification delivery. One invitation fans out to SMS, email, and push

across timezones. Deliverability, retries, idempotency, and the telemetry

that proves a guest was genuinely reached.

• Credits and payments. The credit economy behind AI generation, and the

payments layer on top of it. Money code — the highest bar in the codebase.

• Elie, gift discovery. Parameter-based and conversational recommendation

over a live product catalogue. Retrieval, structured outputs, and the

judgment to know when an answer shouldn’t come from a model at all.

For any of them you’d write the migration, the API, the web surface, the AI

layer, the deployment, and the dashboard that says whether it worked.

MINIMUM QUALIFICATIONS

• Production React, TypeScript, and Next.js. You’ve shipped and then

maintained real interfaces, not just built them once.

• Production Python, including async. Our backend is FastAPI on SQLAlchemy

2.0 async, where the interesting problems are session and transaction

semantics rather than syntax.

• PostgreSQL judgment. Schema design, relationships, indexing, and the

ability to read a query plan. We hand-write SQL migrations and apply them

to a live production database.

• You’ve shipped an LLM-powered feature that real people used. Not a demo —

you can speak to what it cost per call, where it failed, and how you knew

it was working.

• You’ve deployed and debugged your own code in production. AWS (EC2, RDS,

S3), Docker, and CI. When something breaks at 11pm, you’re the one reading

the logs.

PREFERRED QUALIFICATIONS

• AI agent or multi-agent workflows; RAG, embeddings, vector search, and

retrieval evaluation.

• Evaluation frameworks for LLM accuracy, reliability, latency, and cost.

• Flutter or native mobile development — we have a mobile app, and you’d

occasionally touch it.

• Streaming and real-time systems: WebSockets, server-sent events, voice.

• Redis, queues, event-driven architectures, AWS Lambda or ECS.

• Observability, logging, monitoring, and production analytics.

• Early-stage startup experience, or open-source and independently launched

work.

HOW WE WORK

• Own the outcome. You’re accountable for whether the feature worked, not

whether it shipped. Everything you own gets a metric you chose.

• Short decision paths, real review discipline. You don’t need a committee

to pick an approach. But anything touching money, authentication, or

migrations gets read line by line — yours and ours.

• AI by default. Cursor, Claude Code, Codex — whatever gets you there. We

care that you know where the tools are unreliable, not that you use them.

• Keep it practical. The simplest reliable thing that creates impact. We’d

rather delete code than add a layer.

Airawath is an equal opportunity employer. We consider all qualified

applicants without regard to race, religion, colour, sex, sexual orientation,

gender identity, age, national origin, disability, marital status, or any

other characteristic protected by law.