SaaS platforms
Real-time systems (MQTT, WebSockets, WebRTC)
AI agents (voice, chat, automation)
Data-heavy APIs and integrations
Production systems used by real customers
This role is ideal for someone who enjoys
solving hard problems end-to-end
, not just writing isolated APIs.
Key ResponsibilitiesBackend Development
Design and build
scalable backend services
using
Node.js / NestJS
Implement
REST APIs, WebSockets, and event-driven systems
Work with
Prisma ORM
(SQL & MongoDB)
Design schemas, migrations, and query-optimized data models
Build authentication & authorization systems (JWT, RBAC, permissions)
Integrate third-party APIs (payments, messaging, CRM, video, maps, etc.)
Handle background jobs, queues, cron tasks, and workflows
AI & Automation
, structured outputs, and guardrails
Connect AI systems with backend logic, databases, and external tools
Work on
real-time AI systems
(streaming, partial responses, low latency)
Real-Time & Systems Work (Important)
Work with
MQTT
,
WebSockets
, and
event-based architectures
Build or integrate
WebRTC / streaming / signaling systems
Handle concurrency, retries, failure recovery, and observability
Optimize performance for high-traffic and low-latency use cases
Dev & Production Ownership
Write
clean, production-ready code
Debug real production issues (logs, metrics, failures)
Participate in architecture decisions
Work closely with frontend, mobile, and product teams
Own features from design ? development ? deployment
Required SkillsMust-Have
Strong experience with
Node.js
and
TypeScript
Hands-on experience with
NestJS
(or equivalent backend framework)
Experience with
Prisma ORM
Good understanding of
databases
(PostgreSQL / MySQL / MongoDB)
Experience integrating
AI / LLM APIs
Solid API design principles
Comfortable working on
complex, evolving systems
Good to Have (Big Plus)
Experience with
MQTT
,
WebSockets
, or real-time systems
Experience with
WebRTC / media / streaming
Experience with
Docker & CI/CD
Familiarity with
cloud platforms
(AWS / DigitalOcean / Azure)
Prior work on
SaaS platforms
Exposure to
voice bots, chatbots, or automation platforms
What We're Really Looking For
Someone who can
think in systems
, not just functions
Comfortable with
ambiguity and problem-solving
Willing to go deep instead of cutting corners
Can debug, reason, and improve existing systems
Takes ownership instead of waiting for instructions
We prefer problem solvers over resume keywords.What You'll Work On (Examples)
AI voice agents connected to real phone systems
SaaS dashboards with RBAC & workflow engines
Real-time device communication using MQTT
Automation pipelines (AI + backend + external tools)
Data-heavy reporting & analytics systems
Work Culture
No micromanagement
High ownership, high trust
Focus on
output and quality
, not hours
Engineering-first mindset
Real products, real customers
Hiring Process
Resume shortlisting
Technical discussion (problem-solving focused)
Practical evaluation (small task or system discussion)
Final culture & ownership round
Job Type: Full-time
Pay: ₹900,000.00 - ₹1,100,000.00 per year
Work Location: In person
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