Backend / Platform Engineer — Agentic AI Systems

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.