Junior AI Enigneer
The Junior AI Engineer at Confidential Client supports the design, development, and integration of AI-driven applications to enhance business processes and productivity. This entry-level role involves working with generative AI, large language models, machine learning, and automation technologies, collaborating with senior engineers to deliver secure, enterprise-scale AI solutions in a hybrid work environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is hiring a Junior AI Engineer to contribute to design, development, integration, and support of AI-enabled solutions that improve business processes and employee productivity. This is a hands-on, early-career engineering role working with LLMs, generative AI services, machine learning, APIs, automation, and cloud services. You will work closely with senior engineers and IT teams to deliver secure, maintainable enterprise software.
- Assist with design and development of AI-enabled applications and automation solutions
- Develop integrations with LLMs, traditional ML models, and generative AI services
- Build and maintain prompts, structured outputs, tool/function integrations, and AI workflows
- Help implement Retrieval-Augmented Generation (RAG) solutions using enterprise data sources
- Evaluate model responses for accuracy, relevance, reliability, and user experience
- Prototype proofs-of-concept for new AI use cases and support iterative delivery
Software Engineering & Integration
- Develop and maintain applications and services using Python, .NET, and other supported languages
- Build and consume REST APIs and integrate AI capabilities with enterprise systems
- Work with structured and unstructured data (databases, documents, APIs, business systems)
- Use source control and modern SDLC practices: 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
- Implement logging, monitoring, evaluation, and feedback mechanisms for AI applications
- Ensure sensitive and confidential information is handled appropriately
- Integrate AI solutions to work with existing CAD, FEA, and PDM software where applicable
Collaboration & Continuous Learning
- Translate business requirements into technical prototypes and solutions with guidance
- Stay current on generative AI, ML, software engineering, and CAD/FEA automation trends
- Share demos, documentation, and lessons learned across the technology organization
Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, IT, or equivalent practical experience
- 0–2 years of professional experience in software development, data, automation, or AI
- Programming experience with Python
- Understanding of software fundamentals:
- 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, problem-solving, and communication skills
- Willingness and ability to learn new technologies quickly
Preferred Qualifications
Experience or academic/project exposure to one or more of the following is beneficial:
- Web development
- .NET development
- CAD and FEA software integration
- AI agents and agentic workflows
- Microsoft Copilot Studio
- Prompt engineering and RAG implementations
- Vector databases and semantic search
- Semantic Kernel or comparable AI orchestration frameworks
- PyTorch or TensorFlow
- Docker and containerized applications
- GitHub and CI/CD pipelines
- SQL and NoSQL databases
- Enterprise identity and security concepts
- Data analytics and visualization
Knowledge & Skills
- Curiosity and a strong interest in emerging technologies
- Engineering mindset — build maintainable solutions beyond demos
- Problem-solving: break complex business problems into technical components
- Responsible AI awareness: security, privacy, bias, accuracy, and human oversight
- Collaboration: work effectively across technical and business teams
- Communication: explain technical concepts to technical and nontechnical audiences
- Adaptability in a rapidly evolving technology environment
Location & Employment
- Location: Troy, MI — Hybrid / On-site as required
- Employment type: Full time, Regular / Permanent
- Industry: IT
- Salary (source post: estimated): $76,605 per year (estimated)
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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