Location : Bangalore (HSR Layout)
Engagement : Contract (Full-time, 3 months), Extendable beyond that
Experience : 5-8+ years relevant experience
Compensation : As per market trends
Start Date : Immediate Only
We’re building a next-generation AI-driven products that will integrates with other organization tools round Hiring, Finance, IT etc and deliver intelligence for the enterprise.
We are looking for a strong backend engineer who can independently build and scale our MVP foundation — fast, clean, and reliable.
Responsibilities
Design and build backend services using Node.js (NestJS) or Python (FastAPI)
Develop API integrations with Jira / ADO / ServiceNow / GitHub / Slack
Build data ingestion pipelines with delta sync, pagination, error retries
Create multi-tenant REST APIs consumed by the AI / Frontend layers
Design relational schemas in PostgreSQL (must be strong here)
Implement authentication, RBAC, rate limits, logging, error monitoring
Build queues / workers with BullMQ / Celery / Redis
Work closely with AI engineers to support pipelines and agent tooling
Deploy services on AWS (ECS / Lambda / EC2) or Docker-based setups
SKillset :
5–8 years backend development experience
Strong in Node.js (NestJS) or Python (FastAPI)
Solid understanding of REST, async services, controllers, DTOs, middleware
Deep knowledge of PostgreSQL (joins, indexing, constraints, optimization)
Experience with Redis , message queues, background workers
Experience building third-party integrations (OAuth, APIs, webhooks)
Practical experience with Docker and basic AWS / GCP / Azure
Ability to break down ambiguous requirements and deliver independently
Clean coding practices and ability to handle production reliability
Good to Have (Not Mandatory)
Exposure to LLM / RAG pipelines
Knowledge of microservices architecture
Experience with real-time systems (webhooks, sockets, pub / sub)
Worked in early-stage startups or rapid MVP builds
Who Will Fit ?
You’re a builder, not a theorist.
You love clean APIs, fast execution, and solving real data problems.
You understand the demands of early-stage product development and can work with minimal hand-holding.
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