Chief Architect

2 weeks ago

Guntur, Andhra Pradesh, India beBeeTechnology Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Engineering Leadership Opportunity

We are an ambitious, AI-native company that moves fast and builds pragmatically. We care deeply about craft.

This role is for a tech maverick who prefers code over calendar invites and prototypes before pontificating.

As the Founding Head of Engineering, you will be responsible for designing and implementing AI platform capabilities, high-throughput content processing, identity, privacy, and trust, data platform, product surfaces, and operational excellence.

Your Key Responsibilities
  • You will own the following projects in the first 6 months:
  • AI platform capabilities: Design and implement gen-AI services (prompt orchestration, retrieval, tool/function calling, streaming UX) with evaluation and guardrails.
  • High-throughput content processing: Build reliable ingestion/processing pipelines, storage, and delivery with strong observability and cost control.
  • Identity, privacy, and trust: Implement consent-driven flows, signed links/tokens, rate-limits, audit trails, and abuse prevention.
  • Data platform: Ingest and normalize external data, model entities/relationships, and expose a clean query layer for apps and partners.
  • Product surfaces (MVP → v1): Ship crisp, modern UIs and APIs for internal/external stakeholders, with performance and reliability budgets.
  • Operational excellence: Logs/metrics/traces, automated tests, incident runbooks, and a sane release cadence.
Measuring Success
  • You ship: Demos weekly, releases bi-weekly, and 'one-pager + prototype' before big bets.
  • You teach by doing: You crack the hairy part, document it, and only then scale it through patterns others can reuse.
  • You sweat the edges: Correctness, latency, safety, and failure modes matter - especially for AI features.
Your Toolbox
  • Core: TypeScript/Node, Python; React/Next.js; Postgres/Supabase; Cloudflare/Vercel; Redis; object storage + CDN.
  • AI: OpenAI/Anthropic; vector search (pgvector/Pinecone); pragmatic frameworks (LangChain/LlamaIndex); eval/observability (LangSmith/W&B); prompt versioning and guardrails.
  • Data/Infra: Airbyte/dbt or bespoke pipelines; message queues; feature flags; OpenTelemetry/Grafana/Datadog.
  • Nice: Framer/WeWeb/Lovable for rapid UI when appropriate; Firebase where it fits.
Requirements
  • 6-10+ years building production systems as the primary builder (titles < commits). Exceptional earlier-career builders welcome with proof.
  • Evidence of turning ambiguous product problems into working software in days, not quarters.
  • Hands-on gen-AI experience (retrieval, tools, streaming, evals) with real users — and lessons from failures.
  • Strong systems thinking: data models, consistency trade-offs, perf budgets, failure handling.
  • Security and privacy instincts: PII handling, consent, audit trails, regulatory awareness.
  • Excellent written communication: crisp docs, READMEs, runbooks.
Great-to-Haves
  • Media processing at scale (transcoding, adaptive delivery, captioning).
  • Marketplace/fintech-style trust & safety (risk signals, abuse prevention, KYC-adjacent flows).
  • Data engineering craft: ETL/ELT, entity resolution, schema design.
  • Growth engineering: instrumentation, ranking, experimentation.

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