Grape Up is a technology partner that transforms businesses by unlocking the potential of AI and data through innovative software solutions. We collaborate with industry leaders in the automotive and aviation sectors to build sophisticated Data & Analytics platforms that support production-grade machine learning and AI use cases.
Key responsibilities
- Build and maintain RAG pipelines using Amazon Bedrock to ground agent responses in real operational data.
- Design and implement agent reasoning and prompting strategies that support automated, near real-time decision-making.
- Apply MLOps practices on Amazon SageMaker to ensure model reliability throughout the production lifecycle.
- Develop multi-step, memory-aware agents using modern frameworks like LangGraph and Amazon AgentCore.
- Integrate AI security practices, including guardrails and PII redaction, into every agent workflow.
Requirements
- Master’s degree in Computer Science, Machine Learning, Data Engineering, or a related field.
- Over 5 years of software or ML engineering experience, including at least 2 years of hands-on GenAI/LLM/agentic work.
- Strong, hands-on expertise with AWS Cloud and Amazon Bedrock services.
- Advanced knowledge of RAG architecture, prompt engineering, and Amazon SageMaker MLOps.
- Proficiency in agent frameworks and containerized environments.
What we offer
- A non-corporate work environment focused on collaboration among experienced engineers.
- Individual growth and development plans supported by regular feedback sessions.
- Access to professional knowledge platforms and financing for conferences and certifications.
- Flexible equipment choices and comprehensive private medical care.
- Integration activities and a supportive culture that rewards employee success.