Arbetsbeskrivning

As a Mid-Level Data Engineer (AI) at Paradox Interactive, you will play a key role in developing, maintaining, and scaling AI-powered internal tools used across QA, Analytics, and Engineering. You will work at the intersection of data engineering and applied AI, building systems that automate workflows, enable natural language interactions with data, and improve internal productivity.

You will take ownership of production-grade AI systems, ensuring they are reliable, scalable, and continuously evolving based on user needs.

Key Responsibilities

AI Systems & Application Development:

• Build and maintain AI-driven applications, including agentic systems and LLM-based tools.
• Develop and manage tool-calling frameworks using structured inputs/outputs and runtime guardrails.
• Design and implement internal user-facing AI solutions (e.g. Slack-based agents, analytics assistants).

Data Engineering & Pipelines:

• Develop and maintain scalable data pipelines and ingestion processes.
• Ensure reliable data flow between sources (e.g. Snowflake, APIs, external platforms) and AI systems.
• Optimize data models and query performance for AI applications.

System Ownership & Integration:

• Own solutions end-to-end, including APIs, services, and integrations.
• Implement and maintain service contracts, tool registries, and agent behavior logic.
• Ensure production stability, monitoring, and continuous improvement of deployed systems.

Collaboration & Communication:

• Work closely with QA, Analytics, Engineering, and Product teams to identify and deliver impactful solutions.
• Translate technical solutions into clear value for non-technical stakeholders.
• Gather feedback and iterate on tools to improve usability and impact.

Qualifications

Education & Experience

• Bachelor’s degree (or equivalent) in Computer Science, Data Engineering, Data Science, or a related field.
• 3–5 years of experience in data engineering, backend development, or applied AI roles.

Technical Skills

Programming & Systems:

• Strong experience in Python, focusing on application development and APIs, with experience in frameworks such as FastAPI, Streamlit, or similar.

Data & Databases:

• Strong SQL skills, preferably with Snowflake.
• Experience building and maintaining data pipelines, ingestion workflows and data modeling.

AI & LLM Systems:

• Experience working with LLM-based systems, including tool-calling frameworks and structured I/O.
• Familiarity with building agentic applications or similar AI-driven internal tools.

Architecture & Ownership:

• Experience owning systems end-to-end, including integrations, APIs, and service design.

Soft Skills

Ownership:

• Comfortable taking responsibility for production systems and driving them forward.

Communication:

• Strong ability to explain technical concepts to non-technical stakeholders.

Problem Solving:

• Structured and pragmatic approach to building scalable solutions.

Collaboration:

• Ability to work effectively across teams and disciplines.

Preferred Qualifications

• Experience with Docker, Terraform, dbt, or Airflow
• Experience with Snowflake Cortex or similar AI capabilities in data platforms
• Experience building Slack applications (e.g. slack-bolt) and event-driven systems
• Familiarity with monitoring, logging, and production system observability

What We Offer

• Opportunity to work with cutting-edge AI technologies applied to real business problems
• A central role in shaping Paradox’s internal AI capabilities
• Collaboration with a highly skilled and cross-functional team
• Access to modern data and AI tooling
• Professional development and growth opportunities
• A chance to contribute to tools that impact teams across the company

Paradox Interactive is an Equal Opportunity Employer

We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job Title: Mid-Level Data Engineer (AI)

Location: Stockholm, Sweden - Central Tech & Services

Department: Data & Analytics

Type: Full-Time, on-site

Reports To: Head of Data & Analytics