Senior AI Engineer — Claude Code, LLM Agents & AWS Infra

WMtech; Stockholms kommun; On-site; SEK 900,000 - 1,300,000; Full time

Job summary

WMtech is seeking a Senior AI Engineering Consultant to design, build, and operate AI-powered systems across enterprise environments, including LLM agents and MCP integrations.

You will own observability, CI/CD, IAM/SAML/SCIM, and AWS infrastructure for internal platforms, while addressing governance, telemetry, and security requirements.

This role blends software engineering with security and compliance in a fast-growing AI SaaS setting.

Qualifications

• Strong software engineering background with hands-on Claude Code.
• Experience with TypeScript (Python a plus).
• Experience with CI/CD, secrets management, and observability.
• IAM, SAML/SCIM integrations.
• Experience with Anthropic APIs and MCP integration patterns.
• Understanding of LLM operational challenges (prompt injection, governance, telemetry).
• Exposure to SIEM, detection engineering, or compliance frameworks (SOC 2).
• Experience self-hosting tools like n8n, Airbyte, Temporal, Retool.

Responsibilities

• Build AI agents, MCP integrations, plugins, and automations using Claude / Claude Code.
• Deliver integrations from specs—choosing deterministic or agentic approaches based on the problem.
• Stand up and operate AWS infrastructure for internal platforms and tools.
• Build compliance-as-code and automated evidence pipelines alongside Information Security.
• Own observability, alerting, and runtime guardrails across AI and infrastructure.

Skills

Claude Code

TypeScript

Python

AI systems

Agentic vs deterministic

Anthropic APIs

MCP integrations

CI/CD

Secrets management

IAM/SAML/SCIM

SOC 2/compliance

Self-hosted tooling

Tools

AWS

Job description

WMtech is seeking a Senior AI Engineering Consultant to design, build, and operate AI-powered systems across enterprise environments, including LLM agents and MCP integrations.

You will own observability, CI/CD, IAM/SAML/SCIM, and AWS infrastructure for internal platforms, while addressing governance, telemetry, and security requirements.

This role blends software engineering with security and compliance in a fast-growing AI SaaS setting.