Artificial Intelligence Engineer

Crane Authentication

Summary

Crane Authentication provides a range of software platforms with sophisticated anti-counterfeit, anti-piracy, anti-fraud capabilities and track and trace solutions capable of handling billions of transactions per day. Our customers are global brands and Governments.

AI Engineer

autonomous AI system design

Key Accountability:

• Design, develop, and deploy advanced AI systems leveraging

  LLMs

  ,

  multi-modal models

  , and

  autonomous agent frameworks

  .
• Architect and implement

  Retrieval-Augmented Generation (RAG)

  pipelines integrated with vector databases for dynamic, enterprise-safe context retrieval.
• Develop and manage

  context-aware AI agents

  leveraging

  Model Context Protocol (MCP)

  or equivalent structured context management mechanisms for persistent memory, multi-agent collaboration, and session continuity.
• Implement context propagation, state serialization, and contextual handoff mechanisms across distributed agents, tools, and reasoning chains.
• Integrate AI systems with cloud APIs, vector databases, plugin architectures, and orchestration frameworks for multi-step task execution.
• Optimize memory management, prompt engineering, and dynamic context windows for complex, long-running AI workflows.
• Lead AI agent orchestration initiatives using frameworks like

  LangChain

  ,

  Semantic Kernel

  ,

  CrewAI

  , or

  AutoGen

  , with MCP integration for context tracing and governance.
• Stay ahead of emerging trends in

  multi-agent LLM ecosystems

  ,

  autonomous reasoning frameworks

  , and

  context-aware AI protocol standards

  like MCP.

Required Experience:

• 3+ years of AI engineering experience, with direct expertise in:

• Generative AI (GenAI)

  frameworks (OpenAI, Hugging Face, Anthropic, Mistral)

• Agentic AI orchestration frameworks

  (LangChain, Semantic Kernel, AutoGen, CrewAI)

• Retrieval-Augmented Generation (RAG)

  system design and deployment

• Model Context Protocol (MCP)

  or structured context management solutions in multi-agent, multi-tool AI workflows
• Strong software engineering skills in

  Python

  , including AI/ML libraries like

  PyTorch

  ,

  TensorFlow

  ,

  Transformers

  , and RAG toolkits.
• Hands-on experience working with

  vector databases

  (Pinecone, FAISS, Weaviate, Chroma) and

  plugin-based AI architectures

  .
• Strong understanding of AI memory management, session context propagation, and multi-agent communication protocols.
• Programming framework/language: Python, JS or Java.

• Vector databases

  (Pinecone, FAISS, Weaviate, Chroma) and

  plugin-based AI architectures

  .
• Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Solid understanding of statistics, data structures, and algorithms.

Preferred Skills:

• Experience integrating

  multi-modal models

  (text, image, audio, video) into agentic workflows.
• Familiarity with AI safety, observability, and context integrity management in distributed AI systems.
• Exposure to

  LLMOps pipelines

  , prompt optimization techniques, and AI agent performance tuning.
• Experience contributing to open-source AI orchestration frameworks or context management libraries.
• Understanding of AI alignment, ethical AI principles, and responsible AI design.
• Experience with Deep learning in NLP, computer vision, or reinforcement learning.

Education Qualification:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
• 4+ years of experience working as a software engineer developing commercial software.
• Experience using collaborative tools such as: Slack, Microsoft Teams, and Jira.

Common to all roles

• To ensure full participation in the performance development review (PDR) process and maintain an up-to-date record of all training and development activities/programs.
• To always act and behave in a way compliant with all Crane Authentication’s company guidelines and policies, especially those relating to values and behaviours, environmental health and safety, ethics and codes of conduct, as it is through living our values that we strengthen the culture of our business and demonstrate our understanding of our Code of Business Principles. Further information on our company values can be found in our “Living the Values” guidelines.

WHAT’S IN IT FOR YOU?

• Work for a market leading, established product company.
• Nice modern offices with great facilities.
• Health Insurance.
• 24 days holidays plus national holidays.
• Life Insurance.

Crane Authentication is part of Crane NXT

Crane NXT is a premier industrial technology company that provides proprietary and trusted technology solutions to secure, detect, and authenticate what matters most to its customers. Crane NXT has approximately 5,000 employees with global operations and manufacturing facilities in the United States, the United Kingdom, Mexico, Japan, Switzerland, Germany, Sweden, and Malta. For more information, visit www.cranenxt.com.

We value diversity at our company. Everyone who applies with the qualifications will receive consideration for employment without regard to: age, colour, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law.

We receive a high number of applications, so apologies if we are unable to provide specific feedback. If we feel you are a fit for the role, we’ll be in contact.