Senior Backend & AI Engineer (On-Site, FastAPI Focus)

Role: Senior Backend & AI Engineer (On-Site, FastAPI

Focus)

Location: On-Site (Full-Time)

Experience: 6–12+ years

Role Summary

We are hiring a senior engineer to own backend and AI

systems end-to-end, with a strong focus on FastAPI-based

architectures and production AI systems.

This role is about building real-time systems that work

reliably in production — not prototypes.

Core Responsibilities

• Design and build high-performance backend systems

using FastAPI

• Develop and deploy AI-powered services (LLMs,

embeddings, inference pipelines)

• Build real-time systems (low latency APIs, streaming,

async processing)

• Own full lifecycle:

◦ Architecture → Development → Deployment →

Monitoring → Scaling

-

• Optimize systems for:

◦ Latency

◦ Throughput

◦ Cost

-

• Build and maintain robust production infrastructure

• Handle failures, debug production issues, and ensure

system stability

Must-Have Skills

• Strong backend development using Python (FastAPI is

mandatory)

• Deep understanding of:

◦ Async programming

◦ Distributed systems

◦ Event-driven architectures

-

• Hands-on experience with:

◦ AI/ML systems in production (LLMs, vector

search, inference APIs)

◦ Model integration & optimization

-

• Experience building real-time systems (sub-second

response systems)

• Strong database experience:

◦ PostgreSQL / NoSQL

◦ Vector databases (FAISS, Pinecone, etc.)

-

• Messaging & caching:

◦ Kafka / Redis / queues

-

• Cloud & infra:

◦ AWS / GCP / Azure

◦ Docker, Kubernetes

-

• CI/CD and deployment pipelines

Good to Have (Plus, Not Mandatory)

• Node.js or other backend frameworks

• Experience with:

◦ WebSockets / real-time communication

◦ Speech / video / streaming systems

◦ GPU optimization / model serving infra

• Frontend awareness (not required, but helpful)

What “No Excuses” Means

• You own the system — not just your code

• You don’t pass problems — you solve them

• You design for failure, not just success

• You ship systems that actually work under load

Non-Negotiables

• On-site presence

• Strong ownership mindset

• Ability to work in ambiguity and move fast

• Proven experience in production systems (not just

demos)

Why This Role Matters

We are building real-time AI-driven systems where latency,

reliability, and correctness matter.

We need engineers who can design, build, and run these

systems without excuses.

Compensation

• Competitive salary + performance incentives

• Based on experience and demonstrated impact

Final Note

If you’ve only built APIs — this is not enough.

If you’ve built systems that run, scale, break, and recover in

production — we want to talk.

Job Type: Full-time

Pay: ₹473,697.06 - ₹1,798,617.09 per year

Work Location: In person