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.

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Key Responsibilities

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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

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Required Qualifications

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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)

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Preferred Qualifications

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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

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About the company

PTC

Company overview

PTC is an industrial software company that sells tools used to design, make, and maintain physical products. The company’s portfolio spans product lifecycle management (PLM), computer-aided design (CAD), application lifecycle management (ALM), service lifecycle management (SLM), industrial connectivity, and augmented reality (AR). PTC customers include manufacturers across sectors such as automotive, aerospace and defense, industrials, and life sciences. PTC also publishes sustainability and impact reporting tied to how the company’s software supports more efficient product development.

Locations and presence

PTC is headquartered in Boston (Innovation District) and operates offices across North America, Europe, and Asia, including established hubs in places like Germany, Spain (Barcelona), and India (Pune). Work setup varies by country, with PTC explicitly referencing a hybrid work policy (Flex@PTC) on at least some local careers pages.

Palpable Score

76.8

/ 100

PTC offers multiple structured on-ramps for students and new graduates, including paid internships in several regions and a two-year rotational program with defined tracks and mentoring. Learning support and benefits are described in concrete terms, but PTC publishes limited detail on interview stages, timelines, or candidate feedback expectations, and early-career outcome metrics like conversion rates and promotion timelines are not reported publicly.

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AI Dev. Engineer

PTC