Senior AI/ML Engineer

At Grape Up, we transform businesses by unlocking the potential of AI and data through innovative software solutions.We partner with industry leaders in the automotive and aviation to build sophisticated Data & Analytics platforms that support production machine learning and AI use cases. Our solutions provide comprehensive capabilities spanning data storage, management, advanced analytics, machine learning, enabling enterprises to accelerate innovation and make trusted, data-driven decisions.ResponsibilitiesBuild and maintain RAG pipelines using Amazon Bedrock (Claude, Titan Embeddings, Knowledge Bases) to ground agent responses in real operational dataDesign and implement agent reasoning and prompting strategies that support automated, near real-time decision-makingApply MLOps practices on Amazon SageMaker – pipelines, versioning, evaluation – to keep models reliable as they move into productionBuild multi-step, memory-aware agents using modern agent frameworks (e.g., LangGraph, MCP, AgentCore) with container-based deploymentEmbed AI security practices – guardrails, PII redaction, IP protection – into every agent workflow, including any automated output that reaches an external partyRequirementsMaster’s degree in computer science, Machine Learning, Data Engineering or a related field5+ years of overall software/ML engineering experience and 2+ hands-on GenAI/LLM/agentic experienceStrong, hands-on experience with AWS CloudHands-on experience with Amazon Bedrock (including Claude models, Titan Embeddings, and Knowledge Bases)Strong, current expertise in RAG architecture and prompt engineering (including OpenSearch vector search, Lambda-based ingestion pipelines, and metadata management alongside vectors)Advanced experience with Amazon SageMaker, covering MLOps practices, pipelines, and model evaluationAdvanced, hands-on experience with agent frameworks such LangGraph/LangChain SDKs, including MCP and Amazon AgentCore in containerized environments (with working knowledge of long-term agent memory design)Knowledge of AI security practices, including guardrails, PII redaction, and IP protectionNice to haveCI/CD skills for production GenAI and agentic workloads, with demonstrable, current hands-on knowledge of modern toolingExperience with containerized ML workloads using Docker and KubernetesExperience with infrastructure-as-code (Terraform, CloudFormation, or similar)Benefits of joining Grape UpNon-corporate work environment among experienced engineersIndividual growth & development plan supported by cyclical feedback sessionsAccess to knowledge platforms (e.g. Pluralsight)Equipment of your choiceFinancing of conferences, external trainings, and certificationsLanguage lessons (English, German and Polish for foreigners)LuxMed private medical careWeekly Lunch & Learn where we meet up in the office, lunch together, and share our knowledgeEmployee referral programRewards for the success of the month and year awarded by our employeesSpecial rewards for your years with us (G-Man)Integration activities