Full-Stack AI Developer

Resourcifi Inc.

Dadri

Hybrid

INR 900,000 - 1,500,000

Full time

14 days+

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Benefits offered by this job

Hybrid work
Noida delivery center

Job summary

Resourcifi Inc. in Noida is seeking a full-stack engineer to own end-to-end AI product features, from UI to data layers and AI services.

You will ship complete front-end with React/Next and a Python/Node backend, integrating LLMs and external APIs while ensuring observability and production readiness.

The role emphasizes rollback readiness and a production-first approach in a hybrid setup at the Noida delivery center.

Qualifications

  • 3 to 6 years building and shipping web applications with real production ownership.
  • Strong JavaScript or TypeScript with React/Next, and backend fluency in Python or Node.
  • Solid grasp of relational databases and API design, plus containers and cloud basics.
  • Hands-on experience wiring an LLM or external API into a product with proper error handling.
  • Production mindset: eval, rollback, and metrics before demos.

Responsibilities

  • Build and ship full-stack features for AI products with React/Next frontend and Python/Node backend.
  • Integrate LLMs, retrieval pipelines and third-party APIs into observable services.
  • Model data, design schema and wire vector and relational stores for AI reads.
  • Instrument systems with logging, tracing and production dashboards.
  • Own deployment path: CI, environments, rollbacks and cost/latency budgets.
  • Review code, write essential tests, keep stack small and consistent.

Skills

JavaScript/TypeScript
React/Next
Python/Node
Relational databases
API design
Containers
Cloud services
LLM integration

Tools

FastAPI
pgvector
LangGraph
Infrastructure as Code
Observability tooling

Job description

You will build the whole product, not a slice of it: the interface, the API, the data layer and the AI services that sit underneath. Our work is AI that has to survive real users, so you will care as much about the rollback path and the p95 latency as about the feature itself. You will own features from a first scope through to production and the on-call that comes with it.

What you will do
  • Build and ship full-stack features for AI products, with a React or Next front end and a Python or Node service behind it.
  • Integrate LLMs, retrieval pipelines and third-party APIs into clean, observable services that hold up under load.
  • Model the data, design the schema and wire the vector and relational stores the AI reads from.
  • Instrument what you ship: logging, tracing and the dashboards that tell you when something is drifting in production.
  • Own the deployment path, including CI, environment config, rollbacks and the cost and latency budgets for your service.
  • Review code, write the tests that matter, and keep the shared stack small and consistent across pods.
What we are looking for
  • 3 to 6 years building and shipping web applications, with real production ownership rather than only feature tickets.
  • Strong JavaScript or TypeScript with React or Next, and a backend language you are fluent in, ideally Python or Node.
  • Solid grasp of relational databases and API design, plus the basics of containers and one major cloud.
  • Hands-on experience wiring an LLM or external API into a product, including the error handling that keeps it standing.
  • A production mindset: you reach for the eval, the rollback and the metric before you reach for the demo.
Nice to have
  • Experience with FastAPI, pgvector or a managed vector database, and a queue or streaming system.
  • Familiarity with RAG patterns and agent frameworks such as LangGraph.
  • Comfort with infrastructure as code and observability tooling.
What we offer
  • Whole-product ownership, so you ship features instead of fragments.
  • A modern, deliberately small stack shared across pods, with senior engineers to learn from.
  • AI work that reaches production, measured against the five numbers in the Production-First method.
  • A hybrid seat at our Noida delivery center, with a team that has built in-house since 2017.
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