AI Engineer

Ready for an adventure with AWS? Join Us!     As a leading AWS Partner in Europe, we support organizations at every stage of their cloud journey. Our strength comes from deep experience in cloud-native architectures and modernization initiatives. By joining our team, you’ll have the opportunity to shape secure, scalable platforms on AWS, work hands-on with advanced Data & AI technologies, and guide clients through transformative cloud projects. Here, your work will directly impact how businesses innovate, grow, and unlock new value through cloud technologies.     Join our Data & AI team and build solutions that truly transform businesses. As an AI Engineer, you will work on end-to-end projects for clients across various industries - from manufacturing and finance to healthcare and media. We design, build, and deploy AI systems within the AWS ecosystem, giving you the opportunity to grow by working on diverse initiatives and rotating between projects as needed. Examples of what you might work on: • A large-scale multi-tenant AI voicebot making hundreds of thousands of outbound calls monthly. • An internal AI Agents platform for a 10,000+ employee manufacturing enterprise. • Document processing pipelines: automated OCR, classification, and metadata extraction. • An end-to-end media solution: video scene analysis, product matching with LLM ranking, and automated marketing asset generation for a global broadcaster. Projects range from a few weeks (PoC, MVP) to many months or years (production deployments).  Client scale: from mid-sized Polish companies to international enterprises. Tech stack:  • Cloud: AWS (Bedrock, SageMaker, Lambda, Step Functions, S3, DynamoDB, Bedrock AgentCore) • IaC: Terraform • Languages: Python • AI/agent frameworks: LangGraph, Pipecat (but if you bring Strands Agents, CrewAI or Haystack - great) • Observability: LangFuse • AI-native development: Cursor, Claude Code, Codex (we provide licenses and expect you to abuse them) • CI/CD: GitHub Actions, CodePipeline Your Responsibilities:    • Design, implement, and test AI solutions within the AWS ecosystem. • Build agentic AI applications using frameworks such as LangGraph and Strands Agents. • Integrate AI solutions with clients’ existing technology stacks and systems. • Develop and maintain automation for model training, deployment, and CI/CD pipelines. • Support presales activities from a technical perspective, including co-authoring proposals and Statements of Work (SoW). • Collaborate in small, agile project teams (2–5 people), often working directly with clients. Requirements:    • 2+ years of experience in AI/ML and strong Python skills, with the ability to write production-grade code. • Hands-on experience with AI models (fine-tuning, prompt engineering, RAG, API integrations) and familiarity with at least one agentic framework (e.g. LangGraph, CrewAI, Haystack, Strands Agents). • Experience using AI-native development tools (e.g. Cursor, Claude Code, Codex) in day-to-day work. • Solid software engineering practices (code reviews, Git, testing, deployment) and AWS knowledge or willingness to quickly ramp up. • Consultative mindset: understanding client problems and proposing solutions, not just executing tasks. • Self-driven, open to feedback, and proactive in identifying and addressing issues early. • Team-oriented approach, including active knowledge sharing as a standard way of working. • Fluency in both English and Polish, written and spoken.  Nice to have: • Experience in Computer Vision (e.g. OpenCV, detection and segmentation models). • Familiarity with Infrastructure as Code tools (e.g. Terraform). • Experience with voice-based solutions (voicebots, speech-to-text, text-to-speech). • Background in a consulting or software house environment. • Hands-on experience with AWS AI services such as Amazon Bedrock or SageMaker.  Benefits:   • Continuous learning and growth – we invest in your development through internal training, knowledge-sharing sessions, and hands-on learning from real projects. We also support growth beyond the organization by actively engaging in the AWS Community, including conference talks and industry events.  • Training budget – dedicated funds to support certifications, courses, and professional development aligned with your career goals.  • Medical care package – comprehensive private healthcare to help you stay healthy and focused.  • Multisport card co-financing – because staying active matters, both in and outside of work.   • Language learning platform access – improve your language skills at your own pace, whenever it suits you.   • Flexible working hours & remote work – work when and where you’re most productive.   • Company events – time for integration and some fun.  Stay up to date with us: Follow our blog regularly and participate in the events we organize.