Junior AI Engineer
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. The position offers hands-on experience in software engineering, AI workflows, and responsible AI practices within the automotive technology sector.
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.
Key Responsibilities
Confidential Client is looking for an entry-level engineer to support design, development, integration, and maintenance of AI-enabled process-improvement solutions. Day-to-day responsibilities include:
- Assist with design and development of AI-enabled applications and automation solutions.
- Develop integrations with large language models (LLMs), generative AI services, and traditional ML models.
- Build and maintain prompts, structured outputs, tool/function integrations, and AI workflows.
- Assist implementing Retrieval-Augmented Generation (RAG) solutions using enterprise data sources.
- Evaluate model responses for accuracy, relevance, reliability, and UX.
- Contribute to prototypes and proof-of-concept work for new AI use cases.
Software Engineering & Integration
- Develop and maintain applications and services using Python, .NET, and other supported languages.
- Build and consume REST APIs; integrate AI capabilities with enterprise systems.
- Work with structured and unstructured data (databases, documents, APIs, business systems).
- Use source control and modern SDLC practices, including Git, CI/CD, testing, and code reviews.
- Troubleshoot, debug, and support performance optimization and production issues.
Quality, Security & Governance
- Follow organizational standards for Responsible AI, security, privacy, and data governance.
- Help implement logging, monitoring, evaluation, and feedback mechanisms for AI applications.
- Ensure sensitive and confidential information is handled according to policy.
- Integrate AI solutions to work with CAD, FEA, and PDM systems as required.
Collaboration & Continuous Learning
- Translate business requirements into technical prototypes with guidance from senior team members.
- Stay current on generative AI, LLMs, ML, and automation trends.
- Share demonstrations, documentation, and lessons learned across the technology organization.
Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Technology, or equivalent 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, OOP, 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.
- Ability and willingness to learn new technologies quickly.
Preferred Qualifications
Experience or project exposure in one or more of the following is beneficial:
- Web development and .NET development
- Prompt engineering, Microsoft Copilot Studio, or AI agents/agentic workflows
- Retrieval-Augmented Generation (RAG), vector databases, semantic/vector search
- Semantic Kernel or other AI orchestration frameworks
- ML frameworks such as PyTorch or TensorFlow
- Docker, containerized applications, GitHub, CI/CD pipelines
- SQL and NoSQL databases, enterprise identity & security concepts
- CAD/FEA software integration, data analytics and visualization
Knowledge & Skills
- Curiosity about emerging technologies and experimentation.
- Engineering mindset to build maintainable, production-ready solutions.
- Ability to break complex business problems into manageable technical components.
- Awareness of Responsible AI considerations (security, privacy, bias, human oversight).
- Strong collaboration skills across technical and business teams.
- Ability to explain technical concepts to technical and nontechnical audiences.
- Adaptability in a fast-evolving technology environment.
Additional Details
- Location: Troy, MI (hybrid / on-site as applicable). Authoritative job location: Troy, MI.
- Employment type: Full-time, Regular / Permanent.
- Reports to: IT Operations Manager.
- No relocation assistance or sponsorship available.
- Industry: IT
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.
Negotiate a higher salary! Check the salary ranges for this job type in your area.
View My Salary Range