Senior AI Engineer (Python, LLMs)

Our requirements

• At least 5+ years of commercial experience in software engineering with Python.
• Strong programming skills in Python: writing a clean code, OOP design.
• Hands-on experience with LLMs (Large Language Models), AI Agents and Generative AI.
• A solid understanding of software design principles.
• Experience with backend frameworks (e.g., FastAPI) and databases (SQL/NoSQL).
• Familiarity with Docker, Git, and basic CI/CD concepts.
• Practical experience working in a cloud environment (AWS, GCP, Azure).
• Practical experience and strong interest in Data Science and Machine Learning.

Optional

• A personal project or practical experience with frontend frameworks (e.g., React, Node.js, Nest.js, Typescript).
• Curiosity about the latest trends in GenAI, including Intelligent Document Processing, Embeddings, Vector Databases and OpenSource LLMs.

Your responsibilities

• Support the development of scalable AI systems, including LLMs and GenAI.
• Assist in transforming Data Science prototypes into production-ready solutions.
• Build and enhance backend components for advanced AI systems using Python and frameworks like FastAPI.
• Ensure code quality and implement good software engineering practices.
• Participate in the deployment and maintenance of solutions in a cloud environment (GCP, AWS, Azure).

About the project

This is how we organize our work

Development opportunities we offer

• assistance in preparation to public speeches
• conferences abroad
• conferences in Poland
• development budget
• external training
• industry-specific e-learning platforms
• intracompany training
• soft skills training
• substantive support from technological leaders
• support of IT events
• technical knowledge exchange within the company
• time for development of your ideas

What we offer

• Work in a supportive team of passionate enthusiasts of AI & Big Data.
• Engage with top-tier global enterprises and cutting-edge startups on international projects.
• Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
• Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
• Choose your preferred form of cooperation - B2B or a contract of mandate - and enjoy 20 fully paid days off.
• Participate in team-building events and utilize the integration budget.
• Celebrate work anniversaries, birthdays, and milestones.
• Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
• Get full work equipment for optimal productivity, including a laptop and other necessary devices.
• With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
• Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.

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
• no dress code
• video games at work
• coffee / tea
• drinks
• christmas gifts
• birthday celebration
• employee referral program
• charity initiatives
• Reimbursement for prescription glasses or contact lenses

Recruitment stages

• 1.
  Let's get to know each other (45 min)
• 2.
  Technical Interview (1 h)
• 3.
  Management Interview (1 h)

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