Snr AI Engineer – Claude Code | LLM Agents | MCP | CI/CD | AWS | Stockholm

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

We are recruiting for a high-growth AI SaaS company scaling rapidly across enterprise customers.

We’re looking for a Senior AI Engineering Consultant who can design, build, and operate AI-powered systems and integrations across a modern enterprise environment.

The AI & Integrations Engineering function is responsible for building and operating everything from LLM agents and MCP integrations to enterprise automations, observability, and internal platforms.

The Role

As an AI Engineer, you’ll design, build, and operate AI-powered systems and integrations across a modern enterprise environment.

This role sits at the intersection of:

• LLM agents
• Infrastructure & security

You’ll be working across the full stack—shipping production-grade systems, not prototypes.

What You’ll Do

• 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

What We’re Looking For

• Strong software engineering background with hands-on experience building with Claude Code
• Proficient in TypeScript (Python a plus)
• Comfortable working across AI systems, infrastructure, and integrations
• Pragmatic—able to choose between agentic vs deterministic approaches
• Experience with Anthropic APIs and MCP integration patterns
• Experience with CI/CD, secrets management, and observabilityUnderstanding of LLM operational challenges (prompt injection, governance, telemetry)
• Experience with IAM, SAML / SCIM integrations
• Exposure to SIEM, detection engineering, or compliance frameworks (e.g. SOC 2)
• Experience self-hosting tools like n8n, Airbyte, Temporal, Retool

WMtech

WMtech is trusted by leaders in the Cyber Security, AI and Enterprise Software sectors to advise on talent strategy specifically for Start-Ups. Our clients are heavily VC backed, unicorn status, pre-IPO start-ups with pioneering technology.

WMTech is an equal opportunity employer and does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor