We are seeking a forward-thinking
AI Software Engineer to join our global Systems and Software client. In this role, you will be at the forefront of designing, developing, and maintaining cutting-edge software solutions that integrate AI functionality into industrial automation applications. You will bridge the gap between traditional software features and advanced AI technologies, developing everything from core modules to end-user agents.
Key Responsibilities
AI Development & Integration
- Full-Stack Design: Design and implement comprehensive technology stacks for AI-based or AI-powered software applications.
- Production Integration: Seamlessly integrate AI technologies, including frameworks, libraries, and models, into production-ready software.
- Pipeline Development: Build secure AI pipelines and back-end services using modern algorithms and methodologies.
- Front-End Interaction: Develop front-end components and modules that interact directly with AI services and data stores.
Systems Engineering & Delivery
- End-to-End Execution: Support the full application lifecycle, including development, packaging, and deployment.
- DevSecOps Collaboration: Contribute to CI/CD pipelines and build/release engineering workflows.
- Architecture & Standards: Adhere to established architectural patterns, coding standards, and security guardrails while participating in rigorous code reviews.
- System Integrity: Ensure clean integration between user interfaces, backend services, and databases.
Innovation & Collaboration
- Applied Research: Stay current on the latest AI technologies to research, design, and deliver end-to-end solutions.
- Global Partnership: Collaborate with stakeholders and global teams to ensure all technical solutions align with broader business goals.
- Documentation: Maintain and update technical documentation to ensure software applications are easily understood and extensible.
Requirements
Education & Experience
- Degree: Bachelor's or Master's degree in Engineering, Computer Science, Artificial Intelligence, IT, or a related field.
- Software Development: Demonstrable experience as a software developer with proficiency in languages such as C++, C#, Python, or Java.
- Design Patterns: Familiarity with applying software design patterns, including SOLID or Gang of Four (GoF).
Technical Skills
- AI Expertise: Strong understanding of machine learning algorithms, generative AI, and general AI concepts.
- Framework Proficiency: Experience with AI libraries and frameworks such as PyTorch or TensorFlow.
- Data Engineering: Knowledge of data pre-processing, feature engineering, prompt engineering, and model evaluation techniques.
Preferred Qualifications
- AI Tooling: Experience with frameworks like Haystack, LangChain, or Ollama.
- Modern Architectures: Familiarity with REST APIs, asynchronous systems, and distributed enterprise platforms.
- Responsible AI: Knowledge of security, bias mitigation, and responsible AI frameworks.
- Methodologies: Experience with Agile, Test-Driven Development (TDD), and DevSecOps best practices.
