Description
Join our dynamic AI and Data Science team as an AI Implementation Specialist. We are looking for a hands-on professional to help design, build and deliver reliable GenAI applications that create measurable value across the business.
You will develop internal solutions that support employees, automate workflows and enhance decision-making. Working with colleagues across business, product, architecture, platform, data, risk and compliance, you will translate practical business needs into secure and scalable AI solutions.
Responsibilities:
- Designing, developing and supporting AI-powered applications using large language models, cloud services and internal platforms.
- Collaborating with business and product teams to understand needs, define success criteria and translate requirements into practical technical solutions.
- Integrating GenAI capabilities with internal platforms, APIs and enterprise data sources, including context retrieval and agent-based workflows where appropriate.
- Contributing to MLOps workflows, automated testing and CI/CD pipelines that support the safe and repeatable delivery of GenAI applications.
- Helping evaluate, monitor and optimise solution quality, reliability, safety and resource usage, following security, compliance and responsible AI standards.
- Writing clean, testable Python code and contributing reusable components, engineering patterns and technical documentation.
- Recognising and escalating technical, architectural, data and compliance risks, and contributing to resolving production issues with support from the wider team.
Requirements:
- A few years of relevant professional experience.
- Hands-on understanding of large language models and experience developing LLM-based applications, context pipelines or AI-assisted workflows.
- Good Python proficiency and experience writing clean, testable code for business applications.
- Practical experience with cloud technologies (AWS, Azure), preferably in the context of generative AI applications.
- Experience with APIs and CI/CD practices.
- Ability to plan and manage assigned technical tasks across the delivery lifecycle.
- Ability to translate business requirements into effective, maintainable technical solutions, working with support from experienced colleagues where needed.
- Strong analytical, problem-solving and communication skills, with the ability to work effectively with technical and business stakeholders.
- Awareness of security, data protection, responsible AI and compliance requirements in enterprise environments.
Benefits:
- Contract of employment
- Performance Bonus
- Private medical care (ENEL-MED)
- Cafeteria system of benefits (e.g. MultiSport card)
- Additional parent privileges: - baby leave – 6 weeks leave for second parent - shortened working time after parental leave
- Employer-funded group insurance
- Employee Shares Plan
- Extra day off for birthday
- Paid time off to volunteer
- Additional leave acquired over the years in the company (even 5 days more in a year)
- Wellbeing Leave - additional two weeks paid leave after 10 years of service
- Psychological support consultations
- Access to the e-learning platforms
- Internal employee referral program
- Hybrid working model from Poland with a few days in Warsaw office per month
- Attractive office location in Warsaw - Gdański Business Center
- Additional entitlements for people with disabilities - Work Without Barriers
- Work environment that promotes diversity - Diversity Charter