TechWolf

www.techwolf.com

3 Jobs

120 Employees

About the Company

TechWolf’s Skills Intelligence Platform provides enterprises a fast track to adopting a skills-based talent model. By using our AI technology, organisations get an instant overview of skills and skill gaps across their workforce.

Skills-Based Organisations (SBO) need reliable information about people’s evolving competencies. Manually collecting and maintaining skill data is a struggle for most HR departments, and the results tend to be fragmented and quickly outdated.

With TechWolf, companies obtain an automatic and up-to-date overview of their people’s skills in under eight weeks.

TechWolf’s AI technology stems from the computer labs of Cambridge University and is constantly updated with the most recent advances in Natural Language Processing.

Our Skill Engine™ extracts, interprets, contextualises and compares skills and jobs from unstructured data - making our AI explainable and unbiased.

As an API-first technology, TechWolf is built to connect to any of an organisation’s tools, providing the HR ecosystem with skills. No matter the setup, our technology adapts to the employee’s way of working - without adding an extra interface.

Listed Jobs

Company Name: TechWolf
Job Title: Internship - AI Engineer
Job Description: **Job Title**: AI Engineer Intern **Role Summary**: Hands-on internship focused on developing and deploying AI systems, spanning research, model experimentation, and scalable production services. Candidates will engage in projects across LLMs, NLP, AI agents, and MLOps, with collaboration on the full AI lifecycle. **Expectations**: - Available for 6–12 weeks of full-time work. - Pursuing a BSc/MSc in Computer Science, Engineering, or related fields, graduating 2026–2027. - Strong Python proficiency and practical experience in AI/ML. - Familiarity with frameworks like PyTorch, FastAPI, LangChain, or Docker. - Demonstrated curiosity, adaptability, and collaborative problem-solving. **Key Responsibilities**: - Design and implement AI models and architectures. - Transition prototypes into production-grade systems. - Collaborate with senior engineers/researchers on research, deployment, and monitoring. - Contribute to projects aligned with individual interests in AI domains. **Required Skills**: - Programming (Python, ML frameworks). - AI system development (model evaluation, deployment). - Software engineering (APIs, containerization tools). **Required Education & Certifications**: - Enrolled in a BSc/MSc in Computer Science, Engineering, or equivalent. - No certifications required.

Ghent, Belgium

On site

10-11-2025

Company Name: TechWolf
Job Title: Engineering Manager
Job Description: **Job title** Engineering Manager **Role Summary** Lead and coordinate software engineering teams to deliver high‑quality, scalable solutions. Drive daily operations, prioritize work, mentor staff, and collaborate cross‑functionally to translate product requirements into reliable, cost‑efficient systems. **Expectations** - Manage the end‑to‑end engineering cycle, ensuring timely and quality delivery of project milestones. - Foster a culture of continuous improvement and high engineering standards. - Provide technical leadership, coaching, and mentorship to engineers across all levels. - Own system design and optimisation, focusing on performance and cost‑efficiency. - Align engineering outputs with product, delivery, and business strategy. **Key Responsibilities** - Mentor and coach engineers, conduct code reviews, and deliver constructive feedback. - Own architecture and design of new software systems and optimisation of existing ones. - Champion and enforce best practices in development, testing, and process improvement. - Define and track project roadmaps, risk assessments, and stakeholders’ expectations. - Lead cross‑functional collaboration with product teams to translate requirements into robust solutions. - Set professional growth goals for direct reports, facilitate performance evaluations and career development. **Required Skills** - 4+ years of hands‑on software engineering experience. - Proficiency in modern software development methodologies (Agile, CI/CD). - Strong communication and interpersonal skills. - Demonstrated ability to coach and develop engineering talent. - Experience with performance management and setting growth objectives. - Familiarity with serverless architecture on AWS and Python microservices a plus. - Experience with system design for integrations with enterprise systems (e.g., HRIS) a plus. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering or related field. - Professional certifications (e.g., AWS Certified Developer, Certified Scrum Master) are advantageous but not mandatory.

Company Name: TechWolf
Job Title: AI Implementation Consultant
Job Description: Job Title: AI Implementation Consultant Role Summary: Lead end‑to‑end implementation of an AI‑driven skill analytics platform for enterprise customers, ensuring data readiness, seamless API integration, and governance setup. Expectations: Deliver high‑quality technical success for assigned accounts, continuously refine methodology and product features, and drive adoption across multiple business systems. Key Responsibilities - Educate clients on the product, underlying AI concepts, and skills data strategy. - Assess and map customer data landscapes to solution architecture, ensuring alignment with the platform APIs. - Configure and oversee integration of the AI API with HR systems (e.g., Workday, SuccessFactors, Oracle) and collaboration tools (e.g., Jira, MS Teams, Slack). - Implement governance and management tooling, establishing robust data quality and process controls. - Enable clients to extend usage into new use cases, maintaining scalability and continuous improvement. - Collaborate cross‑functionally with technical, product, and business stakeholders to resolve challenges and propose enhancements. Required Skills - 2+ years of enterprise software implementation and integration experience. - Proficiency in API design/consumption, data analysis, and troubleshooting complex technical issues. - Strong analytical mindset and problem‑solving ability. - Excellent communication, stakeholder management, and prioritisation skills. - Passion for AI, skills analytics, and driving business impact. Required Education & Certifications - Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. - Relevant certifications in API management, data integration, or AI solutions preferred (e.g., AWS Certified Developer, Microsoft Azure AI Fundamentals).