Senior AI Solutions Engineer
New
P
People MoreArtificial intelligence
Locations: Kraków, ., Warszawa, ., Poznań, ., Wrocław, ., Gdańsk, ., Kraków, Country code: PLContractSenior
Salary150 - 190 PLN per hour
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Job Details
- Languages
- Very good English and Polish; Languages: pl B2, en C1
- Experience
- At least 5 years of professional experience in developing and delivering AI or machine learning solutions.
- Required Skills
- PythonArtificial IntelligenceMachine LearningRESTful APIsComputer Vision
Requirements
- Have at least 5 years of professional experience developing and delivering AI or machine learning solutions.
- Understand modern AI technologies and software engineering principles, with advanced expertise in at least one AI-related area.
- Have very good knowledge of Python and practical experience with AI/ML libraries and frameworks.
- Have implemented AI solutions in production environments, beyond research and proof-of-concept stages.
- Have experience designing end-to-end AI architectures covering data processing, models, APIs, system integrations, deployment, and monitoring.
- Have experience leading technical projects or complex workstreams involving multiple engineers, teams, and business stakeholders.
- Demonstrate analytical and problem-solving skills to evaluate technical approaches and recommend solutions.
- Be able to explain complex technical concepts, clarify requirements, and constructively challenge assumptions.
- Bring a practical, solution-oriented mindset focused on business needs.
- Be able to work independently, make technical decisions, and manage projects with evolving or initially undefined requirements.
- Have a relevant technical university degree or equivalent professional experience.
- Have very good English and Polish.
Responsibilities
- Own AI projects throughout their lifecycle, from initial analysis and solution design to development, production deployment, and handover.
- Collaborate with business and technical stakeholders to identify challenges, gather requirements, and define project objectives.
- Design technical solutions, establish project scope, and prepare implementation plans.
- Develop and implement AI solutions involving machine learning, computer vision, large language models, AI agents, and intelligent automation.
- Evaluate and select AI models, frameworks, platforms, and existing tools for practical implementation.
- Provide technical guidance to engineers and project contributors, coordinate activities, and manage dependencies across teams.
- Present technical recommendations, explain limitations, and assess implementation costs and risks.
- Assess the feasibility and business value of proposed AI applications and recommend alternative approaches when appropriate.
- Work with product and platform teams to turn successful AI implementations into scalable, reusable solutions.
- Participate in technical reviews, contribute to engineering best practices, and support less-experienced engineers.
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