Agentic Platform Architect

3 weeks ago


Ballari, India fn7.io Full time

🚀 Agentic Platform Architect (Founding Team / Full-time, Hands-on)Location: HyderabadCompensation: Competitive salary + meaningful ESOPStart: ASAPAbout FN7We’re building a lean, high-speed platform for agentic AI — a multi-tenant Brand Brain + Scout (social listening & engagement) + growth modules (ad creatives, Google PMAX, Meta, budget allocator).Our mission: help brands grow with AI-native autonomy, not dashboards.Our approach: a tiny core, massive leverage surface — we ship the foundation, and the ecosystem builds on top.The Role — You’ll Be the Platform OwnerYou’ll own the architecture and technical design of FN7’s agentic platform — from the SDK to the orchestrator. You’ll be both architect and builder: defining patterns, writing ADRs, mentoring engineers, and still shipping code weekly.This is not a role for a passive leader. It’s for a product-minded technologist who’s been a founder, 0→1 builder, or early tech lead, and is hungry to shape the next agentic platform from the ground up.What You’ll DriveArchitecture & Patterns:Evolve the agent architecture (Google ADK), module lifecycle, and micro-frontend shell.Define core design patterns and write ADRs that set the tone for the platform.Developer Platform:Build the Module SDK (templates, local dev, emulators) and CI/CD pipelines.Make it effortless for external teams to ship plug-in modules fast and safely.Data & Orchestration:Design evented backends (GCP Pub/Sub, Firestore) and containerized agent runners on Cloud Run/GKE.Keep latency sub-second where it matters.Search & Retrieval:Productionize hybrid search (Elasticsearch vector + keyword) and RAG pipelines for Brand Brain & Scout.Quality & Safety:Define evaluation scorecards, golden datasets, and guardrails for reliability and brand safety.Performance & Cost:Own profiling, SLOs, and budget control — balance speed, reliability, and efficiency like a craft.Technical Leadership:Mentor a strong Senior TL toward Head-of-Platform readiness.Drive a weekly release train and light steering cadence.What Success Looks Like (First 90 Days)External module integration time ≤ 5 days from hand-off to staging.Weekly release train ≥ 95% pass rate.Scout/Brain latency and retrieval quality measurably improved (dashboards live).Platform SDK + docs cut support load by 50% across two hackathons.You’ll Thrive Here If You…Have started or built something yourself — a product, a tool, a startup — that got real users and traction.Think in systems: architecture, economics, and creative constraints.Enjoy complex conversations and thrive in ambiguity.Believe execution > slides — ship, measure, evolve.Value efficiency, clarity, and momentum over process.Want to work in a place where speed, honesty, and craft matter more than headcount.Must-Have Experience8+ years building production platforms or systems; 3+ years with cloud-native architecture.Hands-on with GCP (Vertex AI, Pub/Sub, Cloud Run/GKE), Kubernetes, CI/CD.Strong in Node.js and Python.Elasticsearch (vector + keyword, HNSW/KNN) in production.Firestore/Firebase data modeling, security rules, emulator-driven dev.Observability at scale (OpenTelemetry/logging/metrics).Built and shipped at least one LLM/agent system in production.Nice-to-HaveGoogle ADK and multi-agent orchestration patterns.Ads domain experience (Google Ads, PMAX, Meta) or RL for budget tuning.Micro-frontend shells (React/Next) and feature-flag frameworks.BigQuery, data pipelines, experimentation frameworks.How We WorkTiny core, big surface: lean in-house team; feature expansion via paid hackathons.Quality gates: evaluation scorecards and release flags; metrics decide go/no-go.Fast loops: weekly release cadence, mid-week architecture huddles, Friday demos.Compensation & GrowthCompetitive base + meaningful ESOP (size based on scope/seniority).Clear path to Head of Platform or Founding Engineer → CTO trajectory.Interview Process (1 Week)30-min intro (Founder)60-min deep-dive on your past platform/agent workPractical architecture exercise (24–48h): design a plug-in agent module60-min pair session (coding + debugging)Final culture/offer conversationApplySend your /GitHub and a short note on an agentic or LLM system you’ve shipped — what worked, what didn’t — to lakshmi.ng@fn7.io



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