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Lead AI Engineer
Lead AI EngineerOpenkyber • GA, United States
Lead AI Engineer

Lead AI Engineer

Openkyber • GA, United States
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At sg tech we are looking for a AI-Native Full Stack / Developer Experience Engineer responsible for designing and delivering next-generation developer experiences for the Global BaaS platform. The role owns developer portals, SDKs, sandbox environments, and AI-driven documentation and support agents.

Mid senior profile with strong front-end and API DevEx expertise. AI experience is desirable but not mandatory.

Primary Responsibilities

Developer Portals & Frontend

  • Build and maintain API developer portals using Apigee Developer Portal, React, Next.js, and TypeScript.
  • Implement developer-facing features : SDK generation (multi-language), semantic API discovery, usage analytics, and API monetization support (metering hooks).
  • Implement front-end tools for SLA tracking, developer telemetry, and visualization of API workflows.

Sandbox, Testing & Documentation

  • Own sandbox and testing environments (Postman collections, contract tests) for external partners and internal teams.
  • Automate documentation and changelog generation with LLM-assisted tools; own versioning and validation of docs.

    • Conversational Support & Developer Tools

  • Provide conversational developer support (ChatOps) via ChatGPT Enterprise-backed agents, integrated into the portal and Slack.
  • Collaborate with Platform (Global BaaS) for gateway integrations and Backend Leads for sample apps and domain examples.

    • DevEx Operations

  • Maintain CI / CD for DevEx services and ensure observability (Prometheus, Datadog).

    • AI-related responsibilities are optional and can be acquired during onboarding.

    Core Tech Stack

    Frontend : React, Next.js, TypeScript

    Backend : Node.js (NestJS / Express), Python (FastAPI)

    API Management & Portal : Apigee Developer Portal

    Testing & Sandbox : Postman, Pact, JMeter, K6

    Observability : Prometheus, ELK, Datadog

    CI / CD & IaC : GitHub Actions, ArgoCD, Terraform

    AI Tools : ChatGPT Enterprise, GitHub Copilot, OpenAI / Azure AI for doc automation

    Security : OAuth 2.1, OIDC, mTLS where applicable

    AI-native components (semantic search, LLM agents, automation) are desirable but not mandatory.

    AI-Native & DX Practices

  • Use LLM-based generation for docs, changelogs, SDKs, and example code; enforce review gates.
  • Provide semantic search (vector DB-backed) in the portal for API discovery.
  • Offer a conversational assistant with governed LLMOps practices and audit logging.

    • AI requirements can be acquired during onboarding.

    Requisitos

    Required Skills & Qualifications

  • Strong proficiency in React, Next.js, TypeScript, and Node.js.
  • Experience with Apigee Developer Portal and API SDK generation.
  • Familiarity with OpenAPI 3.1, contract testing, and sandbox management.
  • Experience integrating LLM-based documentation tooling and ChatOps assistants.

    • Solid front-end and API DevEx fundamentals are prioritized over AI expertise.

    Preferred Qualifications

  • Experience with semantic search, vector stores, and conversational AI for developer support.
  • Familiarity with Camunda or Apache Camel for orchestrating developer tooling workflows.
  • Proficiency in English and Spanish (tested).

    • AI-related experience is optional; not a blocker.

    About the Role

    Owner of the developer experience : making APIs easier to discover, adopt, and integrate through excellent tooling, smart automation, and conversational support.

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    Lead Ai Engineer • GA, United States

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