
theBlue AI - AI/ML Engineer
About us
Join theBlue.ai as an AI/ML Engineer and help shape the future of Generative AI!
Become part of the theBlue.ai team and co-create cutting-edge solutions in the field of Generative AI and Large Language Models!
At theBlue.ai, we're a team of technology enthusiasts developing advanced AI/ML solutions for the business and healthcare sectors. We specialize in NLP, LLMs, predictive analytics, and computer vision, collaborating closely with experts in VR/MR, IoT, web development, and SAP.
Where you’ll add value:
- Design and deliver end-to-end AI/ML solutions, with a strong focus on Generative AI and Large Language Models (LLMs)
- Translate complex business needs into scalable, production-ready AI applications – from proof of concept to long-term optimization
- Develop clean, efficient, and modular code in Python, following best practices
- Apply cutting-edge techniques in prompt engineering, semantic search, vector databases, RAG pipelines, and agent-based systems
- Contribute to the development of intelligent architectures integrating LLMs with real-world data and enterprise systems
- Collaborate with cross-functional teams (e.g. SAP, IoT, VR/MR, Web) in an international environment
- Communicate results and recommendations effectively to both technical and non-technical stakeholders
- Stay ahead of the curve by actively exploring emerging AI/ML trends and sharing knowledge within the team
This job is for you if you have:
- At least 2 years of experience in developing and deploying machine learning models to production, including projects involving LLMs
- Strong knowledge of Python (clean code, OOP, code reviews, ML libraries)
- Solid understanding of NLP techniques and tools, both classical and LLM-based
- Experience working with vector databases, semantic search engines, embeddings, RAG architecture, and agent-based systems
- Hands-on experience deploying solutions in cloud environments (Azure, AWS, or GCP)
- Skills in prompt engineering and LLM optimization
- Familiarity with Docker
- An analytical mindset with a focus on solution quality
- A proactive and creative approach to solving business problems
- Strong communication skills with both technical teams and clients
- Fluent English (C1 level)
- A university degree in IT, Data Science, or a related field
Nice to have:
- Background in consulting companies and direct client interaction
- Familiarity with MLOps methodologies and tools
- Experience with fine-tuning LLMs
- Integration of AI/ML solutions with business systems (e.g. SAP)
- Experience working with the Databricks platform
- GitHub portfolio showcasing your work
- German language skills
Our offer and benefits
- The opportunity to work on innovative projects in the fast-growing field of AI/ML, with a strong focus on language models and Generative AI
- A creative and supportive work environment, where your ideas can truly make a difference
- B2B cooperation model
- Competitive compensation aligned with your experience
- Language courses (English and German) during working hours
- Access to IT trainings and certifications
- Daily collaboration with domain experts in their respective fields
- Ongoing mentorship and support from senior team members
- Mental health support provided by certified professionals from MOCodajnia
- The freedom to take initiatives that shape the direction of the team’s development
- Hybrid work model – at least 2 days a week from our Poznań office
- Multisport card, life insurance, and private healthcare on preferential terms
- A non-corporate atmosphere
Ready for a new challenge? If yes, we can’t wait to meet you! Send us your CV along with links to your projects.
Join theBlue.ai and help us shape the future of technology – together!
The recruitment process is fully remote and consists of just two stages:
- After an initial review of applications, our recruiter will reach out to selected candidates for a short phone call
- In the second stage, you’ll meet us via Microsoft Teams – you’ll talk with two team members, including the Team Leader, so that you get a full understanding of the position
Each candidate will be clearly informed about their current stage in the process