Tech Stack
Job Description, Responsibilities & Requirements
About the Position
Applied AI Engineer
Montrose Software is seeking a skilled Applied AI Engineer to join our team in Poland, focusing on AI and Data lifecycle within our AI and Data framework.
Employment Type: Full-time
Location: Remote (Poland)
Salary: UoP | 16 000 - 24 000 PLN
B2B | 21 400 - 28 500 PLN
Responsibilities
- Define and develop proof of concepts for Data and AI products and solutions
- Conduct market and technology research; architect optimal solutions to address business challenges
- Map AI/ML techniques to specific business problems
- Build and productionize solutions on the Lakehouse (Databricks: Unity Catalog, Delta Lake, MLflow, Model Serving, Mosaic AI Agent Framework, Vector Search)
- Forecast operational AI costs for solutions at scale
- Support business intelligence reporting to guide Data solutions
- Develop end-to-end data products and solutions with an MLOps and LLMOps mindset within Montrose Software’s Data and AI framework
- Conduct product and feature discovery meetings with Clients aiming for a cost-efficient solution addressing clients' goals within their context like budgets, operations, talent pools, data maturity.
- Execute within Montrose's AI delivery and ops patterns and best practices.
Requirements
- 3+ years of experience delivering end-to-end Data and AI solutions and products
- Experience in delivering systems and solutions with LLM agentic architectures
- Understanding of cloud-native architectures and operations
- Hands-on experience with Databricks or a comparable Lakehouse platform (Snowflake, BigQuery + Vertex, Microsoft Fabric)
- Familiarity with machine learning mathematical toolboxes
- Experience with containerized, scalable, elastic deployments, microservice architecture (REST, gRPC)
- Comfortable with data engineering
- Proficiency with SQL
- Understanding of data architectures: OLTP, OLAP, vector and graph databases, column-based file formats
- Knowledge of DevOps, MLOps, LLMOps best practices
- Innovative, curious, outcome-focused mindset
- Collaborative mindset striving for win–win situations
- Strong analytical and systems thinking
- Experience in Transformers, PyTorch, Jupyter notebooks, Python, pandas, NumPy, Matplotlib, scikit-learn
Nice to Have
- Databricks certifications (Data Engineer Associate/Professional, ML Associate/Professional, Generative AI Engineer Associate)
We Offer
- High-quality equipment
- Flexible working hours
- Remote work possibility
- International project teams
- English lessons
- Training budget
- Clear career path
- Private medical insurance
- Multisport card
- Lunch budget
- Fully stocked kitchen
- No dress code
- Game zone (PS4, NS2)
- Chillout zone
- Regular team events
- Indoor bike parking
About the Company
Montrose Software is committed to providing top-notch technology solutions and fostering a collaborative work environment. Our team is dedicated to innovation and excellence in AI and Data solutions.
Recruitment Process
- Technical phone screening (~30 minutes)
- Technical interview (~2 hours)
- Non-technical call with hiring manager or one of the Recruitment Team (~45 min)
Questions about recruitment?
Don't be shy - reach out to our recruiter. Nothing can really surprise her, so whatever's on your mind, you're in good hands.
Magdalena Machowska
IT Recruiter
[email protected]
As Montrose Software, we are responsible only for the job vacancies published on our official website. We cannot verify the accuracy or authenticity of listings on other job boards. If you have any doubts regarding a current vacancy, please contact our Recruitment department.