Backend / Platform Engineer — Agentic AI Systems
2 days ago
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
- 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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