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Artificial Intelligence Engineer

Stealth Startup
London
11 months ago
Applications closed

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Company Description: We are a stealth-mode startup in the EMEA region , developing cutting-edge AI-powered digital twin technologies to revolutionize global supply chain management . Backed by top-tier venture capital, we operate in stealth to safeguard our innovations. Our mission is to create real-time predictive insights , optimize operations, and drive smart manufacturing . With a projected IPO in 18-24 months , we offer an unparalleled opportunity to grow with us. Open Positions: 1. AI Engineer (EMEA, Hybrid) Role Description: The AI Engineer will focus on the development of AI-powered digital twins to optimize supply chains and enhance real-time decision-making. You will work with neural networks , NLP , and pattern recognition models, helping to drive automation and predictive analytics for smart manufacturing and logistics. Key Responsibilities : Develop and deploy AI models for pattern recognition, real-time data analytics , and digital twin simulations . Collaborate on AI model optimization across multi-cloud environments (AWS, Google Cloud, Azure). Work with cross-functional teams to integrate AI solutions into our core digital twin platform . Qualifications : Expertise in neural networks , NLP , and distributed AI systems . Experience with multi-cloud AI deployment . Master’s or Ph.D. in Computer Science , Artificial Intelligence , or related field. 2. Data Architect (EMEA, Hybrid) Role Description: As a Data Architect , you will design and implement the data infrastructure that powers our AI-driven digital twins . Your work will involve building scalable data architectures , optimizing data pipelines , and ensuring seamless data integration across multiple platforms. You will focus on distributed architectures , data security , and InfoSec compliance . Key Responsibilities : Design data architecture for digital twins, ensuring scalability and real-time data processing. Develop secure data pipelines for multi-cloud environments using distributed architectures . Collaborate on the design of data governance and privacy-first architectures . Qualifications : Expertise in building distributed architectures and data pipelines across multi-cloud platforms. Strong knowledge of data governance and InfoSec best practices . Master’s or Ph.D. in Data Science , Computer Science , or related field. 3. Data Scientist (EMEA, Hybrid) Role Description: We are looking for an experienced Data Scientist to work on AI-driven supply chain solutions using digital twins . You will be responsible for analyzing complex datasets, developing predictive models , and providing actionable insights that drive smart automation in logistics and manufacturing. Key Responsibilities : Build predictive models for digital twin simulations in supply chain management. Analyze large datasets to optimize logistics, improve efficiency, and reduce operational costs. Collaborate with AI engineers to refine machine learning models and ensure their scalability. Qualifications : Strong experience in machine learning , predictive analytics , and AI model development . Expertise in handling large-scale data across multi-cloud environments . Master’s or Ph.D. in Data Science , Statistics , or related field. 4. DevOps Engineer (EMEA, Hybrid) Role Description: As a DevOps Engineer , you will support the development and deployment of AI models and digital twin platforms . You will be responsible for ensuring continuous integration and delivery (CI/CD), maintaining infrastructure as code (IaC), and managing cloud-based deployments . Key Responsibilities : Build and maintain CI/CD pipelines for AI-driven solutions. Implement infrastructure as code (IaC) for multi-cloud environments. Manage containerized environments using Kubernetes and Docker . Qualifications : Expertise in cloud platforms (AWS, Google Cloud, Azure) and Kubernetes . Experience with infrastructure as code (e.g., Terraform, Ansible). Bachelor’s or Master’s in Computer Science , DevOps , or related field. 5. Full-Stack Developer (EMEA, Hybrid) Role Description: The Full-Stack Developer will develop and maintain the user interfaces and backend systems that power our AI-driven supply chain solutions. You will work across the entire stack, collaborating with AI and data teams to deliver seamless, scalable solutions for our digital twin platform. Key Responsibilities : Develop front-end interfaces and back-end systems for AI-powered digital twin solutions. Collaborate with AI and data teams to integrate complex data streams into user-facing products. Ensure systems are optimized for scalability and performance . Qualifications : Expertise in JavaScript frameworks (React, Angular) and backend technologies (Node.js, Python). Experience working with cloud-based applications in multi-cloud environments . Bachelor’s or Master’s in Computer Science , Software Engineering , or related field. 6. Product Manager (EMEA, Hybrid) Role Description: The Product Manager will lead the development and execution of our AI-powered digital twin platform for supply chain management. You will work closely with engineering, data science, and AI teams to translate business needs into technical requirements and drive product innovation. Key Responsibilities : Define and prioritize the product roadmap for AI-driven digital twin solutions. Collaborate with cross-functional teams to deliver innovative supply chain products. Gather market insights and use data to inform product strategy and feature development. Qualifications : Experience in product management for AI-driven or cloud-based platforms. Proven ability to lead product development teams and deliver innovative solutions . Bachelor’s or Master’s in Business , Engineering , or related field. 7. Cybersecurity Engineer (EMEA, Hybrid) Role Description: As a Cybersecurity Engineer , you will ensure the security of our AI-powered digital twin platform by implementing best practices for data protection, encryption, and access control. You will focus on maintaining the security architecture and ensuring compliance with InfoSec standards across our cloud-based solutions. Key Responsibilities : Design and implement security protocols to protect data and AI models. Ensure compliance with InfoSec standards and privacy regulations . Work with DevOps to secure multi-cloud deployments . Qualifications : Expertise in cybersecurity , with a focus on cloud environments and AI systems . Experience with encryption standards , identity access management , and data privacy laws . Bachelor’s or Master’s in Cybersecurity , Information Security , or related field. Perks and Benefits: Equity options as part of a pre-IPO, PE-backed firm , offering significant financial upside. Hybrid work flexibility , allowing you to balance remote and on-site collaboration. Competitive salary packages with performance-based bonuses . Comprehensive healthcare benefits, pension plans , and wellness programs . Opportunities for career growth in a high-impact, high-growth environment. Access to industry conferences , professional development programs, and continuous learning opportunities. International exposure through collaborations with global teams and partners across the EMEA region. Why Join Us? Be part of a high-growth startup shaping the future of AI-powered digital twins and Industry 4.0 . Work with cutting-edge technologies that drive real-world impact in global supply chain management. Collaborate with a diverse team of professionals in an inclusive, innovative environment . Play a key role in the company’s journey toward an IPO and global expansion . Apply Today: Interested in joining a fast-moving startup that’s redefining supply chain management? Apply now by sending your C.V. and a cover letter to our team via LinkedIn or email .

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