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. ## This is how we work - in house - at the client's site - you focus on a single project at a time - you can change the project - you have influence on the technological solutions applied - you have influence on the product - you develop the code "from scratch" - you focus on product development - agile - scrum ## Team members - backend developer - fullstack developer - technical leader - devOps - product owner - project manager ## Your responsibilities - Build and maintain RAG pipelines using Amazon Bedrock (Claude, Titan Embeddings, Knowledge Bases) 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 – pipelines, versioning, evaluation – to keep models reliable as they move into production - Build multi-step, memory-aware agents using modern agent frameworks (e.g., LangGraph, MCP, AgentCore) with container-based deployment - Embed AI security practices – guardrails, PII redaction, IP protection – into every agent workflow, including any automated output that reaches an external party - Master’s degree in computer science, Machine Learning, Data Engineering or a related field - 5+ years of overall software/ML engineering experience and 2+ hands-on GenAI/LLM/agentic experience - Strong, hands-on experience with AWS Cloud - Hands-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 evaluation - Advanced, 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 protection - Very good command of English and Polish, both written and spoken (B2+/C1) – daily collaboration within the team takes place in English ## Optional - CI/CD skills for production GenAI and agentic workloads, with demonstrable, current hands-on knowledge of modern tooling - Experience with containerized ML workloads using Docker and Kubernetes - Experience with infrastructure-as-code (Terraform, CloudFormation, or similar) ## What we offer - Non-corporate work environment among experienced engineers - Individual growth & development plan supported by cyclical feedback sessions - Access to knowledge platforms (e.g. Pluralsight) - Equipment of your choice - Financing of conferences, external trainings, and certifications - Language lessons (English, German and Polish for foreigners) - LuxMed private medical care - Weekly Lunch & Learn where we meet up in the office, lunch together, and share our knowledge - Employee referral program - Rewards for the success of the month and year awarded by our employees - Special rewards for your years with us (G-Man) - Integration activities ## This is how we work on a project - Clean Code - code quality measures - code review - pair programming - TDD - architect / technical leader support - Continuous Deployment - Continuous Integration - DevOps - documentation - issue tracking tools - test automation - testing environments ## Development opportunities we offer - assistance in preparation to public speeches - external training - industry-specific e-learning platforms - substantive support from technological leaders - support of IT events - technical knowledge exchange within the company ## Benefits - private medical care - sharing the costs of foreign language classes - sharing the costs of professional training & courses - remote work opportunities - flexible working time - fruits - integration events - corporate library - no dress code - video games at work - coffee / tea - drinks - parking space for employees - leisure zone - extra social benefits - baby layette - employee referral program - charity initiatives ## Recruitment stages - Application - HR + technical interview - Meeting with the Manager - Offer - Feedback ## Grape Up Sp. z o.o. - Hi, we are Grape Up! - Our company provides technology consulting and modern software development services for mission-critical products. We specialize in delivering innovative solutions powered by cloud and AI.