
Agentic AI Developer
3 weeks ago
Job Description
Agentic AI Developer
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 Agentic AI Developer to join us at inception. This role will own the technical backbone of the company and help shape the culture, standards, and product DNA.
What You'll Do
- Architect and build the core platform: multi-tenant backend APIs (FastAPI/NestJS), workflows (Temporal), Postgres schemas, Redis event queues.
- Develop & deploy the first AI agents: end-to-end orchestration, tool APIs, and connectors (Postgres/MySQL, Google Sheets, S3/R2, WhatsApp APIs).
- Implement multi-tenant architecture: enforce tenant_id across Postgres/pgvector, per-tenant file storage (R2/S3).
- Set up CI/CD pipelines with GitHub Actions, Vercel (web), Fly.io/Render (API + worker).
- Manage observability: tracing/logging with OpenTelemetry, Langfuse, Sentry, PostHog, Grafana.
- Optimize infra costs: scale-to-zero workers, token usage tracking, Cloudflare R2 storage.
- Collaborate directly with founder + design intern on roadmap, architecture, and product decisions.
Required Skills & Experience
- Strong in Python (FastAPI, Pydantic), SQL, and/or TypeScript (NestJS, Node.js).
- Proficient with Postgres (schemas, multi-tenant patterns, pgvector).
- Experience with Redis (Streams, caching, queues).
- Hands-on with Temporal (or Celery/Airflow but must be willing to learn Temporal fast).
- Comfortable with containerization (Docker) and deploying to Fly.io, Render, or AWS/GCP/Azure.
- Knowledge of CI/CD (GitHub Actions), infra-as-code (Terraform basics).
- Exposure to LLM integration (OpenAI APIs, LangChain, or direct API calls).
- Strong debugging skills across full stack (frontend backend DB infra).
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 01 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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