Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
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
- 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.
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
- Strong Python skills and a solid grasp of data structures, algorithms, and design
- Familiarity with LLM integration, RAG, LangChain, or similar technologies.
- Hands-on experience with cloud platforms (preferably GCP), containerization (Docker,
- 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
- Awareness of privacy, security, and ethical considerations in AI.
- Strong communication skills - ability to explain complex concepts for targeted audiences
- 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.
Start Date : 2026-01-05
End Date : 2026-06-30
Application Deadline : 2025-12-30
Work Model : On-site
Please apply directly through our system with:
- Your updated CV
- Availability to start the assignment
Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid.
Key Skills
Ranked by relevanceReady to apply?
Join Professional Galaxy AB and take your career to the next level!
Application takes less than 5 minutes

