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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on R&D and AI and Data products within the Montrose Software AI and Data framework. Required skills include Databricks, Lakehouse, MLOps, LLMOps and cloud-native architecture. Main responsibilities comprise defining and developing proof of concepts, productionizing MVPs, and supporting data insights. Technologies used include Python, PyTorch, SQL, Jupyter, Delta Lake, MLflow. The project requires experience in building and scaling AI/ML solutions with a focus on quality and cost efficiency.
from: 14 July 2026
to: 13 August 2026
21 400 - 28 500 złnet (+ VAT)/ mth.B2B contract (full-time)
16 000 - 24 000 złgross/ mth.contract of employment
Offer parameters
level:mid • senior
working mode:remote
Kraków, Dębniki
Requirements
Expected technologies
Databricks
SQL
Our 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
Optional
- Databricks certifications (Data Engineer Associate/Professional, ML Associate/Professional, Generative AI Engineer Associate)
Your 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 productionise 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.
About the project
You will be working with the Head of Data and AI office on R&D and Product initiatives on every stage of an AI and Data lifecycle within our Montrose Software AI and Data framework. With empowered product team principles you will assist defining MVPs tailored to the needs of clients, understand the data intimately to surface the insights that matter to clients, developing proof of concepts in notebooks, and productionizing the MVPs with the MLOps and LLMOps mindset. Beneficial experience includes data engineering within cloud-native architectures for executing data, AI, and enterprise systems at scale. Prior experience delivering on Lakehouse platforms- i.e. Databricks in particular- is a strong advantage.
This is how we organize our work
This is how we work
at the client's siteagilescrum
1.We begin with a brief call to discuss your CV and ask open-ended technical questions to get a sense of your background and skills.
2. This stage includes an introduction to our company, a task or assessment relevant to the position and a series of technical questions to further evaluate your expertise.
3. You’ll have the opportunity to speak with a member of our HR team to discuss our company, the projects you’ll be involved in, and address any questions you might have.
4. For some roles, there may be an additional meeting with a potential client to discuss future collaboration and ensure alignment with client needs.
What we offer
- Top-quality equipment to support your work
- Flexible working hours
- Remote work option
- Exciting and challenging projects with international teams
- English lessons with a native speaker
- Dedicated training budget for personal and professional growth
- Private medical insurance
- Multisport card
- Air-conditioned workspace
- Showers available at the office
- Lunches from Kraków’s top restaurants delivered to the office or a refund of the budget allocated for it
- Fully stocked kitchen with drinks, fruit, and snacks
- No dress code — dress comfortably
- Chillout area with bean bags, therapy balls, PlayStation 4, Nintendo Switch 2 + games, stretching area, and pull-up bar
- Regular team events
- Additional Perks
- Indoor bicycle parking
Benefits
- sharing the costs of sports activities
- private medical care
- sharing the costs of foreign language classes
- sharing the costs of professional training & courses
- remote work opportunities
- flexible working time
- fruits
- integration events
- corporate sports team
- no dress code
- video games at work
- coffee / tea
- drinks
- parking space for employees
- leisure zone
- birthday celebration
- employee referral program
- charity initiatives
- family picnics
Recruitment stages
- 1.Online screening call ~30 min
- 2.Online technical interview ~2 hours
- 3.Call with our HR team ~45 min
- 4.Call with potential client ~1 hour
Montrose Software (Polska) Sp. z o.o.
Montrose Software is a software consultancy based in New Jersey (USA), with our primary development center in Kraków. We develop mobile apps, web applications and enterprise systems for a wide variety of clients. If you want to work on dynamic projects for world class clients in a fun workplace, do not hesitate to apply.
Applied AI Engineer
16k–24k zł / mth. (CoE), 21.4k–28.5k zł / mth. (B2B)
I apply to:
Montrose Software (Polska) Sp. z o.o.
Kraków, Dębniki
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