Junior AI Enigneer

About the Role

We are seeking a Junior AI Engineer to join our team and help design, develop, integrate, and support artificial intelligence solutions that improve business processes and employee productivity. This is an ideal opportunity for an early-career engineer who has a strong foundation in software development and wants to gain hands-on experience delivering secure, responsible, enterprise-scale process improvement software.

Key Responsibilities

• Assist with the design and development of AI-enabled applications, and automation solutions.
• Develop applications that integrate with LLMs, traditional machine learning models, and generative AI services.
• Build and maintain prompts, structured outputs, tool/function integrations, and AI workflows.
• Assist with implementing Retrieval-Augmented Generation (RAG) solutions using enterprise data sources.
• Evaluate model responses for accuracy, relevance, reliability, and overall user experience.
• Participate in prototyping and proof-of-concept development for new AI use cases.

Software Engineering & Integration

• Develop and maintain applications and services using Python, .NET, and other supported development languages.
• Build and consume REST APIs and integrate AI capabilities with existing enterprise applications.
• Work with structured and unstructured data from databases, documents, APIs, and business systems.
• Use source control and modern software development practices, including Git, CI/CD, testing, and code reviews.
• Assist with troubleshooting, debugging, performance optimization, and production support.

Quality, Security & Governance

• Follow organizational standards for Responsible AI, security, privacy, and data governance.
• Assist with implementing logging, monitoring, evaluation, and feedback mechanisms for applications.
• Ensure sensitive and confidential organizational information is handled appropriately.
• Integrate applications to function with existing CAD, FEA, and PDM software.

Collaboration & Continuous Learning

• Translate business requirements into technical prototypes and solutions with guidance from senior team members.
• Stay informed about developments in generative AI, machine learning, software engineering, and CAD/FEA automation.
• Share findings, demonstrations, documentation, and lessons learned with the broader technology organization.

Requirements & Tech Stack

• Programming experience with Python.
• Understanding of software development fundamentals, including:
• APIs
• Data structures
• Object-oriented programming
• Source control/Git
• Testing and debugging
• Basic understanding of machine learning, generative AI, and large language models.
• Familiarity with JSON, REST APIs, SQL, and common data formats.
• Strong analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Ability and willingness to learn new technologies quickly.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Technology, related discipline, or equivalent practical experience.
• 0–2 years of professional software development, data, automation, or AI experience.

Preferred qualifications include experience or academic/project exposure to one or more of the following:

• Web development
• .NET / development
• CAD and FEA software integration
• AI agents and agentic workflows
• Microsoft Copilot Studio
• Prompt engineering
• Retrieval-Augmented Generation (RAG)
• Vector databases and semantic/vector search
• Semantic Kernel or similar AI orchestration frameworks
• Machine learning frameworks such as PyTorch or TensorFlow
• Docker and containerized applications
• GitHub
• CI/CD pipelines
• SQL and NoSQL databases
• Enterprise identity and security concepts
• Data analytics and visualization