AI Enablement Engineer

Xensam AB; Stockholms kommun; Hybrid; SEK 700,000 - 1,000,000; Full time

Benefits offered by this job

Free drinks & snacks

Office massages

Three days in-office

Remote Mondays & Fridays

Career growth

Annual trip

Location-specific benefits

Job summary

Xensam AB is seeking an AI Enablement Engineer to embed AI into daily work across Marketing, Sales, HR, Finance, Operations, Product and Engineering. You will design, build, and maintain AI-powered solutions that streamline workflows and boost productivity.

This hands-on role partners with teams to identify opportunities, create reusable AI components, and mentor colleagues through workshops. You will shape how AI is adopted across the company and influence cross‑functional processes.

Qualifications

• 3+ years of software development experience.
• Strong experience with Python and API integrations.
• Experience building solutions with LLMs and modern AI frameworks.
• Experience with RAG, vector databases, or agent frameworks.
• Experience integrating commercial AI platforms such as ChatGPT, Codex, or similar.
• Experience working with open-source AI models and inference platforms.
• Comfortable working with Linux, Docker and self-hosted environments.
• Strong problem‑solving skills and a passion for building practical solutions.
• Excellent communication skills and the ability to collaborate with both technical and non‑technical teams.
• Fluent in English, both written and spoken.

Responsibilities

• Build and maintain AI-powered solutions and automations tailored to each department's needs, from document processing and customer support to internal knowledge management.
• Drive AI adoption across the company by being accessible, patient, and practical. Help teams move from unfamiliar with AI to confident users.
• Design and develop reusable AI components, prompts, and workflows that different departments can leverage.
• Experiment, iterate, and evaluate new models, frameworks, and approaches. Stay ahead of the curve so we're not playing catch‑up.
• Automate intelligently by knowing when to use deterministic, repeatable processes and when to lean on AI for non‑deterministic workflows and analytics.
• Build and manage self-hosted AI infrastructure including open‑source models (Llama, Qwen, etc.), inference APIs, RAG pipelines, vector databases, and the rest of the stack.
• Build AI solutions on top of existing platforms like ChatGPT, Codex, and other commercial APIs, integrating them into internal workflows and tools.
• Educate and mentor colleagues, running workshops/hackathons and creating documentation that makes AI accessible to everyone, regardless of technical background.
• Partner with every department (operations, HR, finance, marketing, etc.) to understand their workflows and identify where AI or automations can add value.

Skills

Python

API integrations

LLMs & AI frameworks

RAG & vector databases

Commercial AI platforms (ChatGPT/Codex

Open-source models & inference

Linux & Docker

Communication & collaboration

English fluency

Tools

Docker

Linux

Self-hosted infrastructure

Job description

About the role

We're looking for an AI Enablement Engineer to help make AI a natural part of how we work at Xensam. In this role, you'll partner with teams across the business to identify opportunities where AI and automation can create real value. You'll design, build, and maintain AI-powered solutions that simplify workflows, improve productivity, and help our teams focus on what matters most. You'll work across Marketing, Sales, HR, Finance, Operations, Product, and Engineering, combining technical expertise with business understanding to turn ideas into practical solutions. This is a hands‑on role with the opportunity to shape how AI is adopted across the entire company.

Responsibilities

• Build and maintain AI-powered solutions and automations tailored to each department's needs, from document processing and customer support to internal knowledge management.
• Drive AI adoption across the company by being accessible, patient, and practical. Help teams move from unfamiliar with AI to confident users.
• Design and develop reusable AI components, prompts, and workflows that different departments can leverage.
• Experiment, iterate, and evaluate new models, frameworks, and approaches. Stay ahead of the curve so we're not playing catch‑up.
• Automate intelligently by knowing when to use deterministic, repeatable processes and when to lean on AI for non‑deterministic workflows and analytics.
• Build and manage self-hosted AI infrastructure including open‑source models (Llama, Qwen, etc.), inference APIs, RAG pipelines, vector databases, and the rest of the stack.
• Build AI solutions on top of existing platforms like ChatGPT, Codex, and other commercial APIs, integrating them into internal workflows and tools.
• Educate and mentor colleagues, running workshops/hackathons and creating documentation that makes AI accessible to everyone, regardless of technical background.
• Partner with every department (operations, HR, finance, marketing, etc.) to understand their workflows and identify where AI or automations can add value.

Qualifications

• 3+ years of software development experience.
• Strong experience with Python and API integrations.
• Experience building solutions with LLMs and modern AI frameworks.
• Experience working with RAG, vector databases, or agent frameworks.
• Experience integrating commercial AI platforms such as ChatGPT, Codex, or similar.
• Experience working with open-source AI models and inference platforms.
• Comfortable working with Linux, Docker, and self-hosted environments.
• Strong problem‑solving skills and a passion for building practical solutions.
• Excellent communication skills and the ability to collaborate with both technical and non‑technical teams.
• Fluent in English, both written and spoken.

Bonus points if you have

• Experience with workflow automation platforms (e.g. n8n, Make, Temporal).
• Experience with cloud AI platforms (AWS Bedrock, Azure AI, GCP Vertex AI).
• Experience with MLOps or deploying machine learning systems into production.
• Experience fine‑tuning or hosting open-source language models.
• Contributions to open-source projects or a portfolio of AI side projects.

What you get

• A generous work culture with free drinks and snacks, office massages, and more.
• Three days in‑office (with remote work on Mondays and Fridays).
• An opportunity to shape your career growth while contributing to the company's success.
• A dynamic position embracing "freedom under responsibility".
• If sales targets are met, all employees enjoy an annual destination trip.
• Other location‑specific benefits.

Our values at Xensam

• Rebellious: We challenge the norm and act with initiative - always with responsibility.
• Humane: We foster a caring, inclusive environment that values diversity and respects individuality.
• Harmony: We value balance and create a supportive workplace where people thrive.