AI Dev. Engineer
6 days ago
Our world is transforming, and PTC is leading the way. Our software brings the physical and digital worlds together, enabling companies to improve operations, create better products, and empower people in all aspects of their business.
Our people make all the difference in our success. Today, we are a global team of nearly 7,000 and our main objective is to create opportunities for our team members to explore, learn, and grow – all while seeing their ideas come to life and celebrating the differences that make us who we are and the work we do possible.
The AI Development Engineer – Specialist is responsible for building and integrating AI capabilities into Codebeamer applications, working across both back-end and model integration layers. This role involves hands-on development of AI services, support for model deployment, and close collaboration with product and engineering teams to deliver intelligent, user-facing features. Strong software engineering fundamentals combined with real-world AI project experience are essential.
Key Responsibilities
- Implement AI-driven features and microservices within the Codebeamer ecosystem
- Develop machine learning models or integrate third-party AI/LLM APIs into core application workflows
- Support data preprocessing, experimentation, model evaluation, and deployment tasks
- Apply AI techniques such as NLP, classification, summarization, or anomaly detection to product use cases
- Build and maintain APIs, services, and data processing pipelines for AI functionalities
- Participate in architectural discussions, code reviews, and agile ceremonies
- Collaborate with UX and product teams to create user-friendly AI-powered experiences
- Ensure performance, reliability, and scalability of AI components
Required Qualifications
- Hands-on experience with AI/ML development or integration of AI technologies
- Strong programming skills in Python or Java; exposure to ML libraries such as PyTorch, TensorFlow, or scikit-learn
- Experience working with LLMs, embedding models, vector stores, or AI APIs
- Familiarity with data preparation, model training workflows, and evaluation techniques
- Understanding of software engineering best practices (testing, CI/CD, version control)
- Strong problem-solving and communication skills in English
- Exposure to delivering at least one real AI project (academic, professional, or personal portfolio)
Preferred Qualifications
- Experience with Docker, Kubernetes, or similar environments
- Understanding of MLOps workflows or tools
- Familiarity with RESTful APIs, microservices, and cloud technologies
- Exposure to UI/UX considerations for AI-driven features
- Experience with agile development environments
- Knowledge of how AI concepts can be applied in enterprise-grade systems
Life at PTC is about more than working with today's most cutting-edge technologies to transform the physical world. It's about showing up as you are and working alongside some of today's most talented industry leaders to transform the world around you.
If you share our passion for problem-solving through innovation, you'll likely become just as passionate about the PTC experience as we are. Are you ready to explore your next career move with us?
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