4 дня назад
AI Platform Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Platform Engineer (Enterprise AI): Administering and connecting enterprise AI platforms, including Anthropic and OpenAI, with an accent on API governance, integrations, monitoring, and secure data flows. Focus on troubleshooting production pipelines, building Python and JavaScript/TypeScript automations, configuring vector-store and RAG workflows, and supporting InfoSec reviews across GMT-8 to GMT+3.
Location: Nairobi, Kenya; remote, with the possibility of in-person work depending on location. Stakeholders operate across GMT-8 to GMT+3, requiring occasional early or late meetings.
Company
is an international humanitarian non-governmental organization supporting people affected by conflict and disaster across more than 40 countries and 29 U.S. cities.
What you will do
- Administer IRC enterprise AI environments, including Anthropic Claude and OpenAI deployments.
- Manage user access, API keys, workspace configurations, environment settings, and change procedures.
- Monitor uptime, error rates, token consumption, API performance, and integration reliability while troubleshooting operational issues.
- Build and maintain Python and/or JavaScript/TypeScript scripts, connectors, automations, and REST API integrations.
- Collaborate with DevOps, software engineering, data engineering, and InfoSec on deployments, data flows, security reviews, and compliance.
- Maintain runbooks, SOPs, architecture notes, dependency maps, and technical guidance for AI rollouts.
Requirements
- Hands-on experience administering enterprise AI platforms such as Anthropic, OpenAI, Azure OpenAI, or comparable tools.
- Knowledge of LLM application infrastructure, including prompt pipelines, Model Context Protocol, tool-calling frameworks, vector databases, RAG patterns, and embedding workflows.
- Proficiency in Python and/or JavaScript for scripting, automation, and lightweight integrations.
- Experience with REST APIs, authentication, webhooks, error handling, Git, deployment practices, monitoring, alerting, logs, and production troubleshooting.
- Working knowledge of SaaS and API security, including access controls, credential management, data handling, and audit logging.
- Ability to communicate clearly with non-technical colleagues and collaborate across engineering, product, data, operations, and InfoSec teams.
Nice to have
- Experience with Databricks or comparable data and machine-learning platforms.
Culture & Benefits
- Remote working environment with possible in-person work depending on location.
- Work supporting humanitarian programs and operations at global scale.
- Collaboration across multiple time zones and functions.
- Professional standards centered on integrity, service, equality, accountability, safeguarding, and responsible data use.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →