AI Software Engineer

ABOUT HARBOR LAB

Founded in 2020 in Greece Harbor Lab is a fast-growing B2B maritime tech company on a mission to simplify and optimize port cost management. Our end-to-endAI-powered SaaS platformtransforms how Shipowners and Shipmanagers handle Disbursement Accounts (DAs) bringing automation real-time data control and transparency to one of the most complex and costly parts of global shipping.

But we dont stop there. Harbor Lab also powers a thrivingMarketplace connecting Principals with a global network of vetted Port Agents and Vendors.

At Harbor Labpeople come first. Our culture is anchored in ambition trustworthiness genuine care and agilityvalues we bring to every interaction with our customers and our team. Were proud to be consistently recognized as aBest Workplace() and recently certified as aGreat Place to Work (2024).

If youre looking to make a global impact grow alongside passionate peers and shape the future of maritime innovationwed love to meet you.

ABOUT THE ROLE

Our AI team builds production-ready AI systems that help Harbor Lab move faster make better decisions and deliver smarter products to our customers. We focus on practical scalable AI: LLM-powered workflows automation intelligent APIs and backend services that bring AI into real business operations.

As an AI Engineer with a strong backend background you will design build and deploy reliable AI-powered systems end to end. You will work closely with product engineering data and maritime domain experts to turn complex business problems into robust AI solutions.

WHAT YOU WILL BE DOING

• AI Systems & LLM Engineering: Design and build modern AI applications using LLMs RAG agents embeddings vector databases and advanced prompting techniques. Develop AI workflows that are reliable measurable and production-ready.
• Backend Development: Build scalable backend services and APIs in Python using frameworks such as FastAPI. Integrate AI models into existing systems with clean architecture strong typing validation testing and maintainable code.
• Data & Retrieval Infrastructure: Work with structured and unstructured data document pipelines embeddings semantic search and retrieval systems using tools such as FAISS Pinecone Weaviate or similar technologies.
• Production AI & MLOps: Deploy monitor and improve AI systems in production. Work on evaluation pipelines observability latency optimization cost control error handling model versioning and CI/CD workflows.
• Cross-Functional Collaboration: Collaborate with software engineers data scientists product managers and maritime experts to define requirements validate solutions and deliver business impact quickly.
• Documentation & Knowledge Sharing: Maintain clear technical documentation for architecture APIs prompts evaluation methods deployment processes and operational decisions.

WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE

• Educational Background: BSc or MSc in Computer Science Engineering Mathematics Physics or another STEM field.
• Professional Experience: 3 years of experience in machine learning AI engineering backend engineering or a related technical role.
• Backend Engineering Skills: Strong Python experience and solid software engineering fundamentals including API design testing debugging clean architecture asynchronous processing and production-grade code.
• AI & LLM Expertise: Hands-on experience with LLMs RAG systems embeddings prompt engineering model evaluation and AI workflow orchestration.
• Technical Stack: Experience with tools and libraries such as PyTorch Scikit-learn Pandas Pydantic FastAPI Hugging Face LangChain LlamaIndex or similar frameworks.
• Vector Search & Retrieval: Experience with vector databases or similarity search tools such as FAISS Pinecone Weaviate Qdrant or Elasticsearch/OpenSearch.
• Model Provider Integration: Familiarity with AI models and APIs from providers such as OpenAI Anthropic Google Meta or open-source model ecosystems.
• Cloud & DevOps: Experience with cloud platforms Git Docker CI/CD and production deployment workflows. Kubernetes and AWS experience are considered a plus.
• Communication: Fluent English and strong communication skills with the ability to explain technical ideas clearly and work effectively in a fast-moving team.

Additionally the following will be considered a plus:

• Experience in the maritime shipping logistics or supply-chain industry.
• Strong software engineering or backend platform background.
• Experience with AWS services such as Lambda ECS EKS S3 RDS Bedrock SageMaker or CloudWatch.
• Experience building AI agents tool-calling systems workflow automation or internal AI platforms.
• Experience with evaluation frameworks LLM observability guardrails security and compliance for AI systems.
• Strong product mindset and ability to turn ambiguous business problems into practical technical solutions.

WHAT WE OFFER

• Attractive compensation package based on experience and skillset
• 30 days of paid annual leave
• Comprehensive private health insurance coverage for your entire family
• Hybrid way of work
• Yoga classes Life Coach Running Coach and Kick-Boxing Sessions
• Cool start-up environment (with swag and much more)

Equal Opportunity Statement

Harbor Lab is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and prohibit discrimination on the basis of race color religion age sex national origin disability sexual orientation gender identity or expression or any other characteristic protected by applicable law.

Data Protection (GDPR)

Harbor Lab collects and processes personal data in accordance with the EU General Data Protection Regulation (GDPR). The information provided as part of your job application will be used solely for recruitment purposes. Your data may be retained in our talent database for future opportunities. You may request access to correction of or deletion of your personal data at any time by contacting.

Right to Work

By applying for this position you confirm that you have the legal right to work in the European Union.

#LI-Hybrid

Required Experience:

IC