HarborLab

AI Engineer

• 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.

AI Software Engineer