Backend / Platform Engineer — Agentic AI Systems

2 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Backend / Platform Engineer — Agentic AI Systems


Location: Ahmedabad,India

Type: Full Time (In Person Only)

Experience: 2-5 Years


About Us


Perceptive Labs is building the marketplace of autonomous AI agents. Each agent runs 24/7, connects directly to customer data, and delivers measurable business outcomes (recommendations, automations, workflows). We’re early-stage and looking for a Backend / Platform Engineer — Agentic AI Systems, to join us. This role will own the technical backbone of the company and help shape the culture, standards, and product DNA.


Required Skills & Experience

  • Python (

    FastAPI, Pydantic

    ) or TypeScript (

    NestJS

    )
  • AWS and/or GCP

    production experience
  • Strong

    Postgres + SQL

    (schemas, indexing, multi-tenancy)
  • Experience with

    pipelines, async jobs, distributed systems

  • Docker + CI/CD

    (GitHub Actions or similar)
  • Experience shipping

    production systems

    (not just prototypes)


What You’ll Build

  • Cloud backend systems on AWS & GCP
  • Multi-tenant APIs (FastAPI / NestJS) + Postgres
  • Agent execution workflows (Temporal / Celery / async workers)
  • Data & event pipelines (Redis Streams, queues, background jobs)
  • LLM-powered agentic AI systems (tools, retries, guardrails)
  • CI/CD, Docker, deployments, observability


Nice to Have

  • Experience with

    Temporal

    ,

    Redis Streams

    , or workflow engines
  • Observability tools:

    OpenTelemetry, Langfuse, Sentry

  • Experience with

    multi-tenant security models

  • Startup or

    0→1 product experience

  • Prior work on

    agentic AI systems


Interview Process

Our selection process is designed to assess both technical expertise and cultural alignment:


  • Initial Conversation (30 minutes): Introduction, career aspirations, and behavioural assessment.
  • Group Technical & Case Study Assessment (90 minutes): Evaluation of problem-solving, system design,workflows, pipelines and applied coding through a structured case study.
  • Final Discussion (30 minutes): Role expectations, collaboration style, and growth opportunities.


What We Offer

Hands-on experience designing a first-of-its-kind AI product.

Competitive salary + benefits.

Direct mentorship from founder, exposure to end-to-end company building.

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