Pulse Centric
Artificial Intelligence Engineer
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Company Description
Pulse Centric is the creator of PULSE, a New Project Experience Platform built for architects and specialized creative studios seeking scalable growth without added risk or administrative burden. The platform focuses on reducing professional liability exposure and minimizing non-billable administrative time by automating client decisions, approvals, and project updates. PULSE provides an experience-first design with role-specific views and AI-guided outcomes that streamline collaboration between managers, employees, and clients. By delivering risk mitigation, profitability recovery, and complete project oversight, Pulse Centric enables firms to manage complex engagements with confidence. The company’s mission is to provide controlled growth and reduced risk, giving teams peace of mind through efficient, protected operations.
Role Description
The Artificial Intelligence Engineer will design, build, and optimize AI solutions that power PULSE’s experience-first, AI-guided project workflows. This is a contract, hybrid role based in the United Kingdom, combining on-site collaboration with flexibility to work from home.
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Day-to-day responsibilities include:
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- Developing and training machine learning models
- Implementing pattern recognition and NLP features
- Enhancing neural network architectures to improve automation, risk mitigation, and project traceability
The engineer will work closely with product, design, and software development teams to integrate AI capabilities into the platform, ensuring scalable, reliable performance in production. The role also involves:
- Researching new AI approaches
- Refining existing algorithms based on user feedback and data
- Contributing to technical documentation and best practices
Qualifications
- Strong foundation in Computer Science and Software Development, including algorithms, data structures, and production-grade coding practices.
- Hands-on experience with Neural Networks and Pattern Recognition, developing and deploying models for real-world applications.
- Practical expertise in Natural Language Processing (NLP), including text classification, entity recognition, and conversation or document analysis.
- Proficiency with modern machine learning frameworks and tools (e.g., Python, PyTorch, TensorFlow, scikit-learn) and cloud-based ML workflows.
- Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent professional experience.
- Experience integrating AI systems into SaaS products, preferably in project management, workflow automation, or professional services platforms.
- Ability to collaborate in a hybrid environment, communicate clearly with cross-functional teams, and translate business needs into technical solutions.
- Familiarity with software engineering best practices (version control, testing, CI/CD) and an understanding of data privacy, security, and compliance considerations.
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