Senior AI Engineer

Professional Galaxy
is an IT and technology consulting company that provides highly specialized expertise in IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results.

Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us.

Feel free to apply today, selection and interviews take place on an ongoing basis.

Professional Galaxy is looking for a
Senior AI Engineer
on behalf of our client.

As a Senior AI Engineer, you'll lead the development of AI-driven products from concept to

delivery. You'll design, build, and iterate on applications that directly support business needs,

embedding AI into the daily workflows. This is a hands-on engineering role with product

ownership, you'll work closely with users and cross-functional colleagues to define

requirements, test ideas, and scale what works. While the role includes platform responsibilities, the emphasis is on building usable, end-to-end AI products that solve real problems and deliver value.

Key responsibilities include:

• Design and build reliable, scalable, and high-performing AI solutions and infrastructure.
• Develop AI workflows using LLM APIs, Retrieval-Augmented Generation (RAG), and

agent frameworks.

• Collaborate across teams to define and ship new AI features and enhancements.
• Manage applications and infrastructure on Google Cloud Platform (GCP).
• Work with Docker, Kubernetes, CI/CD pipelines, and observability tools.
• Ensure ethical, secure, and compliant use of AI across all solutions.
• Stay current with developments in AI, LLMOps, and platform engineering.

About You
You're a curious and committed engineer who thrives in collaborative, fast-paced environments. You care about impact and quality, and enjoy building systems that scale and last.

Essential skills and experience:

• Proven experience in AI, machine learning, and software engineering (minimum 3

years).

• Strong Python skills and a solid grasp of data structures, algorithms, and design

patterns.

• Familiarity with LLM integration, RAG, LangChain, or similar technologies.
• Hands-on experience with cloud platforms (preferably GCP), containerization (Docker,

Kubernetes), and CI/CD.

• Knowledge of backend and API frameworks (e.g. FastAPI, REST, GraphQL).
• Experience with version control (e.g. Git) and Agile methodologies.
• Understanding of database technologies such as BigQuery, PostgreSQL, Redis, or

Elasticsearch.

• Awareness of privacy, security, and ethical considerations in AI.
• Strong communication skills - ability to explain complex concepts for targeted audiences

Nice to have:

• Platform Engineering or Site Reliability Engineering (SRE) experience.
• Background in NLP, especially for summarization and information extraction.
• Exposure to machine learning libraries like TensorFlow, PyTorch, or scikit-learn.
• Experience with agentic workflows and MCP.
• Experience with data transformation tools like dbt.

Other Information :
Start Date :

End Date :

Application Deadline
:

Work Model : On-site
Please apply directly through our system with:

• Your updated CV
• Availability to start the assignment

In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employment, education and personal qualities.

Please note:
We do not accept any applications through mail. All applications have to be sent through the portal to be valid.