AI Team Lead

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Ocean Technologies Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

🛍️ eCommerce

📚 Education

🚗 Transport

💰 Venture Round on 2015-05

eCommerce • Education • Transport

Ocean Technologies Group is a company dedicated to transforming the maritime industry through innovative e-learning and crew management solutions. They provide a comprehensive library of maritime training courses, competency management systems, and performance evaluation tools to empower maritime professionals and support organizations in meeting compliance and operational excellence. By leveraging technology, they aim to enhance the skills of seafarers and optimize vessel performance in a rapidly evolving industry.

📋 Description

• - Lead a team of AI Engineers, ensuring alignment on goals, quality and delivery timelines. • - Mentor and coach team members to support their technical and professional growth. • - Drive engineering excellence by promoting best practices in coding (PEP-8, Clean Code), Test-Driven Development, code review, CI/CD and responsible AI development. • - Plan and manage team capacity, sprints and milestones to ensure predictable delivery. • - Own the design, evolution and operation of our RAG and agentic AI services — retrieval, embedding, indexing, orchestration, evaluation and LLM Ops. • - Set and maintain standards for prompt engineering, evaluation harnesses, guardrails, hallucination mitigation and content safety. • - Partner with the Data team to expose curated Druid datasets through natural-language interfaces (text-to-SQL / semantic search) and ensure quality and consistency end-to-end. • - Collaborate with Product, UX and Architecture to translate customer and internal use cases into well-defined AI capabilities with clear acceptance criteria. • - Champion responsible AI — bias awareness, transparency, privacy, data minimisation, evaluation, monitoring, and clear in-product communication of model limitations. • - Collaborate with other Team Leaders, Development Managers, Architects and Product Owners to align engineering execution with business objectives. • - Contribute to the evolution of development processes, CI/CD pipelines and DevOps practices. • - Foster a culture of continuous improvement, innovation and knowledge sharing — including a research-aware approach to a fast-moving field.

🎯 Requirements

• - 7+ years of commercial software development experience. • - 2+ years leading an engineering team with a solid grasp of Agile methodologies (Scrum / Kanban). • - Strong hands-on Python and SQL; comfortable in Git and Docker. • - Deep grounding in engineering principles — Clean Code, PEP-8, Test-Driven Development, CI/CD, code review. • - Demonstrable experience shipping production Generative-AI features — Retrieval-Augmented Generation (chunking, embedding, hybrid retrieval, reranking), LLM Ops (prompt management, evaluation harnesses, observability, versioning), and vector databases (e.g. pgvector, Pinecone, Weaviate, Qdrant, Chroma). • - Strong commitment to responsible AI development — guardrails, hallucination mitigation, evaluation against ground truth, content safety, data privacy and clear in-product communication of model limitations. • - Experience with data analytics and visualisation, and comfort partnering with a data / BI team on shared datasets. • - Exceptional communication, teamwork, attention to detail, organisational and leadership skills. • - Ability to inspire, mentor and lead by example. • - Inquisitive, analytical, collaborative, and resilient and adaptive to change in a fast-moving field. • *Nice to have* • - DevOps exposure — Kubernetes and Terraform. • - Model Context Protocol (MCP) — exposure to building or consuming MCP servers / tools. • - Experience integrating LLMs with OLAP / SQL serving layers (Apache Druid, Apache Superset) — text-to-SQL, semantic layers, governed natural-language access. • - Familiarity with agent frameworks and orchestration (e.g. LangChain, LlamaIndex, DSPy, custom orchestrators) and tool-use patterns. • - Research-driven mindset — keeps up with the literature and is comfortable assessing new techniques on real workloads. • - Maritime domain (regulations, training, crew operations) or other regulated-industry experience.

🏖️ Benefits

• - Private medical insurance • - Matching pension contribution up to 5% • - BUPA cash plan (to fund out of pocket medical costs) and Employee Assistance Programme (EAP) • - Life assurance • Further Benefits: • - We operate a remote working environment • - Enable internal mobility by posting all vacancies on our internal job board • - We offer a referral fee • - Provide a culture of continuous development and growth