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Backend / Platform Engineer — Agentic AI Systems
Backend / Platform Engineer — Agentic AI SystemsPerceptive Labs • Gujarat, India
Backend / Platform Engineer — Agentic AI Systems

Backend / Platform Engineer — Agentic AI Systems

Perceptive Labs • Gujarat, India
15 hours ago
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.

What You’ll Build

Platform & Backend

  • Multi-tenant APIs (FastAPI / NestJS) and Postgres schemas
  • Temporal workflows for long-running agent behavior
  • Redis Streams / event-driven pipelines
  • Connectors for databases, file storage, SaaS APIs, WhatsApp, email, etc.

Agent Execution Layer

  • Tool / action APIs for autonomous behavior
  • Data ingestion and transformation pipelines
  • Safety / evaluation loops and error recovery
  • Intelligent orchestration for 24 / 7 agents
  • Infrastructure & Deployments

  • CI / CD, Docker, and deployments to Fly.io / Render / AWS
  • Cost-efficient infra : scale-to-zero workers, caching, R2 / S3
  • Observability : OpenTelemetry, Langfuse, Sentry, PostHog
  • Creative Problem Solving

  • Break down fuzzy problems into agent workflows
  • Prototype fast, validate, then harden into production
  • Invent new agent patterns, capabilities, and system abstractions
  • Identify edge cases, failure modes, and design around them
  • Required Skills & Experience

  • Strong in Python (FastAPI / Pydantic) or TypeScript (NestJS)
  • Solid SQL + Postgres fundamentals (schemas, indexing, multitenancy)
  • Experience with asynchronous workflows (Temporal / Celery / Airflow / Dagster)
  • Comfortable with Redis Streams, Docker, CI / CD pipelines
  • Experience integrating LLMs into real products
  • Strong creative reasoning — can design agent workflows from scratch
  • Excellent ambiguity navigation — can build without perfect specs
  • Strong problem-solving across engineering layers
  • Ability to evaluate trade-offs and choose pragmatic solutions
  • Curiosity, experimentation mindset, and ability to discover better paths than the obvious ones
  • Nice to Have

  • Prior work with Langfuse (prompt / version tracking) or OpenTelemetry.
  • Experience with S3 / R2 storage and CDN integration.
  • Understanding of multi-tenant security (scoped API keys, audit logs).
  • Startup / early-stage experience, shipping 0→1 products.
  • Interview Process

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

  • Initial Conversation (30 minutes, online) : Introduction to Perceptive Labs, career aspirations, and behavioural assessment.
  • Technical & Case Study Assessment (90 minutes, group interview) : Evaluation of problem-solving, system design (multi-tenant APIs, workflows), and applied coding through a structured case study.
  • Final Discussion (30 minutes) : Deep-dive on 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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