Remote AI Platform Engineer for Production-grade LLMs

Jobgether; Switzerland; Remote; CHF 150,000 - 210,000; Full time

Benefits offered by this job

Remote-first work environment

Health insurance

Retirement benefits

Home office allowance

Book allowance

Connectivity reimbursement

Flexible time off

Company laptop

Well-being resources

Inclusive workplace

Job summary

Jobgether is seeking an experienced engineer to design, develop, and operate an AI platform that powers autonomous agents across multiple business functions. You will own end-to-end delivery from design to production, emphasizing security, observability, and scalable deployments in a remote-first environment.

The role requires hands-on work across agent runtimes, integrations, identity management, and cost tracking, with significant emphasis on building reusable AI capabilities and governance.

Qualifications

• At least 5 years of software/infrastructure engineering experience with system design, data modeling, testing, debugging, and code review.

Responsibilities

• Build robust production AI platforms and agent runtimes with secure guardrails and observability.

Skills

LLM workflows

Production systems

Autonomous agents

Security governance

Observability

Cost management

CI/CD

Cloud infra

Communication

Stakeholder management

Ownership

Automation

Problem solving

Tools

OAuth authentication

Okta IAM

SSO protocols

GitHub Apps

1Password

OpenTelemetry

Grafana

Datadog

Langfuse

LangSmith

Braintrust

CI/CD

Cloud infrastructure

Claude Code

Codex

Claude Agent SDK

Anthropic APIs

OpenAI APIs

OpenRouter

Modal

n8n

Job description

Jobgether is seeking an experienced engineer to design, develop, and operate an AI platform that powers autonomous agents across multiple business functions. You will own end-to-end delivery from design to production, emphasizing security, observability, and scalable deployments in a remote-first environment.

The role requires hands-on work across agent runtimes, integrations, identity management, and cost tracking, with significant emphasis on building reusable AI capabilities and governance.