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

Backend / Platform Engineer — Agentic AI Systems

Perceptive Labs • Ahmedabad, Gujarat, India
1 day 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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