Senior AI Engineer

Location: London, UK. Applicants must have the right to live and work in the UK.

Company

hirify.global provides maritime safety and risk intelligence by combining trusted standards, AI technology, maritime data, and industry expertise.

What you will do

• Work with Product Managers to define customer problems, candidate AI solutions, success criteria, and evaluation plans.
• Prototype and experiment with LLM applications, agentic systems, and retrieval pipelines using structured and unstructured maritime data.
• Design solution architectures covering model selection, orchestration, data access, guardrails, cost, and latency.
• Build offline and online AI evaluation suites, including production quality monitoring.
• Produce tested, evaluated, documented, and observable production-ready code and support handover to engineering teams.
• Build retrieval and embedding pipelines and contribute to AI tooling, standards, responsible AI practices, and knowledge sharing.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
• 5+ years of hands-on AI/ML or software engineering experience, including production LLM applications.
• Strong Python and software engineering fundamentals, including testing, packaging, version control, code review, and CI.
• Experience building agentic systems and RAG pipelines with LangGraph, LangChain, or similar tools, including tool use, state management, and structured outputs.
• Experience with LLM evaluation datasets, metrics, LLM-as-judge methods, regression testing, and production monitoring.
• Experience with embeddings, vector search, hybrid retrieval, and Azure AI workloads such as Azure OpenAI, AI Foundry, Azure AI Search, Functions, or Container Apps.

Nice to have

• Experience with Databricks, MLflow, Delta Lake, or model serving.
• ML fundamentals, PyTorch, classical ML, multimodal models, or document and image understanding.
• Familiarity with graph databases or knowledge graphs, including Neo4j and Cypher.
• Experience in maritime, shipping, logistics, safety, or compliance-driven domains.
• Open-source contributions or a public portfolio.

Culture & Benefits

• Work within the Product team in an applied and experimental AI environment.
• Professional development support and opportunities to learn from experienced colleagues.
• Employee wellbeing support, including a Healthy Living Allowance.
• Competitive base salary and annual incentive scheme.
• Equal opportunity, diversity, and inclusion are supported across the workplace.