Industry Automotive | Aviation | Manufacturing | Insurance

Seniority Senior

Department Software Engineering

Tech stack

AWS

Amazon Bedrock (Claude, Titan Embeddings, Knowledge Bases)

RAG Architecture & Prompt Engineering

Amazon SageMaker

Agent Frameworks (LangGraph/LangChain SDKs, MCP, AgentCore)

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.

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 Requirements

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• 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 Nice to have

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• 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) Recruitment owner

Klaudia Jazowska

Senior AI/ML Engineer

Białystok | Kraków | Wrocław | Remote 26 000 - 32 000 PLN net (B2B) 22 000 - 27 000 PLN gross (UoP)

Benefits

Employee referral Knowledge platforms Equipment Integration activities Employee referral Knowledge platforms Equipment Integration activities Lunch & Learn In-house Tech Up Language lessons Lunch & Learn In-house Tech Up Language lessons Conferences & training Development plan Feedback sessions Business travel opportunities Conferences & training Development plan Feedback sessions Business travel opportunities

Check out the next steps of your recruitment process

Application

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HR & Manager interview

Let’s talk about your experience and expectations, and what this role has in store for you.

Task

Put your skills to the test with a practical challenge.

Offer

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Feedback

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