• Bachelor's degree in Computer Science, Software Engineering, IT, AI/ML or related discipline.
• 5+ years in software engineering, automation or system integration, including 2+ years building LLM-based

agentic systems in production.

• Hands-on experience with agentic frameworks (LangChain, LangGraph, Microsoft Agent Framework or

comparable) and LLM APIs (Azure OpenAI or similar): tool use, structured outputs, streaming, prompt and

context engineering.

• Practical experience building RAG pipelines with vector databases (pgvector, FAISS, Azure AI Search or

similar).

• Hands-on experience with Power Automate and Copilot Studio, and integrating enterprise applications

through REST APIs, JSON, webhooks and MCP.

• Strong Python; frontend development with React (Vite or similar tooling) for agent-facing user interfaces;

Solid SQL and ETL / data pipeline development.

• Experience with Microsoft Azure services (AKS, Functions, Logic Apps, Service Bus, Key Vault, Azure OpenAI /

AI Foundry) and containerized production deployment (Docker, Kubernetes, CI/CD) strongly preferred.

• Applied ML fundamentals — forecasting, classification, optimization, recommender systems — including

statistical validation and anomaly detection on transactional business data is a strong plus.

• Understanding of business workflows, approvals, financial controls and exception handling; strong

communication skills in English.

Employment Type

• Full-time

Company Industry

• ShipbuildingShip RepairShip MaintenanceDrydocks

Department / Functional Area

• Software DevelopmentApplication Development (IT Software)

Keywords

• Software EngineeringAutomation Or System IntegrationCloud AIWorkflow AutomationRobotics Automation EngineerMachine LearningAI Automation SpecialistAI Solutions EngineerDeep LearningAI AutomationMachine Learning Automation Engineer