PROJECT OVERVIEW

Our client is a global leader in maritime technology, backed by over 260 years of industry experience. Their mission is to transform maritime operations through a powerful digital platform that connects people, data, and workflows across every vessel and voyage—reducing risk, improving safety, and enabling sustainable growth worldwide.

They are currently seeking a visionary and hands-on AI Team Lead to spearhead their Artificial Intelligence initiatives. In this role, you will define the technical direction of AI-driven products, lead a team of engineers and data scientists, and deliver cutting-edge Generative AI solutions at the intersection of applied research and production engineering.

IN THIS ROLE, YOU WILL

• Define and drive the AI technical roadmap, architecting scalable solutions using LLMs, RAG, and Vector Databases.
• Lead the design and implementation of LLM Ops pipelines — covering model deployment, monitoring, versioning, and evaluation.
• Evaluate and integrate emerging AI tools and frameworks, including Model Context Protocol (MCP) and agentic architectures.
• Lead, mentor, and grow a multidisciplinary team of AI and ML engineers, fostering a high-performance culture.
• Oversee end-to-end delivery of AI features — from prototyping to production — using Docker, Git, and SQL-based workflows.
• Collaborate cross-functionally with product, engineering, and data teams to align priorities and translate AI capabilities into business value.

IF YOU ARE

• 7+ years of experience in software engineering or data science, with at least 2 years in a technical leadership or team lead role.
• Strong proficiency in Python for AI/ML development, including libraries such as LangChain, LlamaIndex, or similar.
• Proven experience building and deploying Retrieval-Augmented Generation (RAG) systems in production environments.
• Hands-on expertise with LLM Ops: model lifecycle management, prompt engineering, evaluation frameworks, and observability.
• Experience designing and querying Vector Databases (e.g., Pinecone, Weaviate, Qdrant, pgvector).
• Solid experience with SQL for data querying, pipeline support, and analytical workflows.
• Proficient in Git-based version control and collaborative development workflows.