Senior AI Software Engineer

Develop and maintain AI/ML solutions using Python and popular ML frameworks
Design, architect, build, and deploy scalable backend services and APIs supporting AI-driven products
Take ownership of technical design and architectural decisions for AI-enabled systems
Develop clean, maintainable, and well-structured code following SOLID principles and modern engineering best practices
Collaborate closely with Data Scientists, Machine Learning Engineers, Tech Leads, and Product teams to integrate AI models into production systems
Build and optimize event-driven architectures, microservices, and cloud-native components
Utilize and optimize modern AI tooling (e.g., GitHub Copilot, LangChain, agents, LLM orchestration frameworks)
Work extensively with AWS cloud services, including model hosting, orchestration, and distributed system components
Implement Infrastructure as Code and enforce DevOps best practices to ensure reliable CI/CD pipelines
Lead technical discussions, conduct code reviews, and mentor less experienced engineers

Advanced proficiency in Java and/or Python for backend development
Deep understanding of OOP, SOLID principles, design patterns, and clean code
Proven experience delivering production-grade solutions in complex, enterprise-scale environments
Ability to make architectural decisions and guide technical direction
Strong hands-on experience with AWS services (Lambda, API Gateway, S3, ECS/EKS, DynamoDB, etc.)
Experience with Infrastructure as Code (Terraform or CloudFormation)
Advanced understanding of CI/CD pipelines and DevOps practices
Proven track record of delivering AI or ML-powered solutions in production (not only experimental or prototype projects)
Strong familiarity with LLM ecosystems, orchestration frameworks, and agent-based tooling (ideally Amazon Bedrock)
Practical understanding of model integration patterns in distributed and scalable systems
Experience designing event-driven architectures and working with messaging or streaming platforms
Strong working knowledge of SQL and NoSQL databases
Very good English skills

Experience with frontend frameworks such as Angular
Exposure to Amazon Bedrock, vector databases, embeddings, or Retrieval-Augmented Generation (RAG)
Previous experience mentoring engineers and supporting technical leadership initiatives

Hybrid working model (minimum 40% from the office in Wrocław, Poznań, or Kraków)
Collaboration with senior engineers and cross-functional AI teams
Dynamic and innovation-driven engineering environment
Full-time job agreement based on b2b
Private medical care with dental care (covering 70% of costs)
Multisport card (also for an accompanying person)
Life insurance

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