AI engineer for finance teams

Elios, Inc.

United States

Remote

USD 90,000 - 150,000

Full time

24 hours ago
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Job summary

Elios, Inc.‑ компания в области финансового консалтинга, создаёт AI‑нативную управляемую сервисную платформу. Роль предусматривает управление облачной инфраструктурой и пайплайнами для бэкенд‑сервисов и агентов.

Вы будете работать с инженерами ИИ, чтобы обеспечить чистое развёртывание, масштабируемость и видимость на панели управления до появления ошибок у клиентов. Требуется опыт в облаке, CI/CD и автоматизации, знание BEAM (Elixir/OTP) и контейнеризации.

Qualifications

  • Опыт работы в облачной инфраструктуре и CI/CD с упором на автоматизацию и IaC.
  • Опыт наблюдаемости по метрикам, логам и трейсам; настройка алертов.
  • Опыт на месте инцидентов, зрелость в on-call, ориентированность на экономию затрат.
  • Умение работать с polyglot сервисами в контейнерах, BEAM (Elixir/OTP).
  • Готовность к удаленной работе в рамках Европы/международной команды.
  • Опыт Azure/AWS — будет плюсом; опыт cost-observability инструментов.

Responsibilities

  • Владение инфраструктурой в Azure Container Apps, секретами через Key Vault и пайплайнами развертывания сервисов.
  • Обеспечение CI/CD с суровыми требованиями к качеству кода и тестам, защищенность main ветки.
  • Запуск и поддержка миграционных задач в контейнерных средах.
  • Эксплуатация воркеров и сервисов как self-hosted, так и managed sandbox.
  • Оркестрация фоновый задач, пуллинга HTTP и SSE потоков.
  • Ответственность за наблюдаемость: телеметрия, дашборды, алерты, раннее выявление регрессий.
  • Контроль затрат на LLM и инфраструктуру; емкость и выбор моделей.
  • Ведение инцидент‑response и участие в on‑call.

Skills

Облачная инфраструктура
CI/CD
Автоматизация
Наблюдаемость
Инцидент-менеджмент
Elixir/OTP BEAM
Контейнеризация
Удаленная работа

Tools

Azure Container Apps
Key Vault
CI/CD pipelines

Job description

Описание

The client is a specialized financial advisory firm, backed by global private equity, building an AI-native managed services platform for finance and accounting teams. You'll work alongside the AI engineers building the agent runtime, making sure what they ship deploys cleanly, scales, and shows up on a dashboard well before it shows up in a user complaint.


Задачи


  • Own the cloud infrastructure on Azure Container Apps, including managed-identity secrets through Key Vault references and the release pipeline for backend services and agent workers

  • Enable AI capabilities across Azure, AWS, and Google Cloud Build and maintain CI/CD with the gates that protect main: formatting, strict linting, warnings-as-errors compilation, the full test suite, branch protection, and required reviews

  • Run the staging auto-migration job on Container Apps Jobs

  • Operate agent serving and scaling across two deployment models (self-hosted workers for sensitive client data, and managed cloud sandboxes) with connection pooling and per-session supervision

  • Background-job orchestration, HTTP connection pooling, and SSE streaming infrastructure

  • Own observability: telemetry over LLM requests and cron jobs, dashboards, alerting, and the signals that catch regressions before users do

  • Keep LLM and infrastructure cost in check, from token spend and model selection to capacity planning

  • Lead incident response and take part in the on‑call rotation


Требования


  • Mid to senior level experience in cloud infrastructure and CI/CD, with a bias toward automation and infrastructure-as-code

  • Production observability skills across metrics, logs, traces, and alerting

  • On‑call and incident‑response maturity, plus a cost‑optimization mindset

  • Comfort operating polyglot services in containers, including BEAM (Elixir/OTP) releases and agentic workers

  • Based in the UK or Germany and comfortable working fully remote

  • Будет плюсом: Hands‑on Azure and AWS experience; LLM cost and observability tooling, such as token accounting and eval‑in‑prod signals; Depth in container orchestration and secrets management


Условия

You’ll be the person who makes an ambitious AI platform dependable, working with a small engineering team that cares about doing things properly: gated merges, real telemetry, and honest cost accounting. The firm brings deep finance and accounting expertise, and your job is to make sure the software built on top of it runs the way it should. If you like infrastructure work where the stakes are visible and the problems are new, this is a good place to do it.

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