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, machine learning models, and automation technologies, collaborating with senior engineers to deliver secure, scalable AI solutions within 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
This Confidential Client is seeking a Junior AI Engineer to help design, develop, integrate, and support AI-driven process-improvement solutions. You will work with senior engineers and cross-functional IT teams to deliver secure, maintainable applications that leverage generative AI, LLMs, machine learning, APIs, automation, and cloud services.
- Assist with design and delivery of AI-enabled applications and automation solutions.
- Implement integrations with LLMs, machine learning models, and generative AI services.
- Build and refine prompts, structured outputs, tool/function integrations, and end-to-end AI workflows.
- Support Retrieval-Augmented Generation (RAG) implementations using enterprise data sources.
- Evaluate model outputs for accuracy, relevance, reliability, and user experience.
- Participate in prototyping and proof-of-concept development for new AI use cases.
- Contribute to debugging, performance tuning, and production support activities.
Software Engineering & Integration
- Develop and maintain services and applications using Python, .NET, or other supported languages.
- Build and consume REST APIs to integrate AI capabilities with enterprise systems.
- Work with structured and unstructured data (databases, documents, APIs, business systems).
- Use Git and modern SDLC practices: CI/CD, automated testing, and code review.
- Help integrate solutions with CAD/FEA/PDM tools where applicable.
Quality, Security & Governance
- Follow Responsible AI, security, privacy, and data governance standards.
- Help implement logging, monitoring, evaluation, and feedback loops for deployed systems.
- Ensure confidential and sensitive information is handled per policy and regulations.
Who You Are (Required Qualifications)
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Technology, or equivalent experience.
- 0–2 years professional experience in software development, data, automation, or AI.
- Programming experience with Python.
- Solid understanding of software fundamentals: APIs, data structures, OOP, source control (Git), testing and debugging.
- Basic familiarity with machine learning, generative AI, and large language models.
- Comfortable working with JSON, REST APIs, SQL, and common data formats.
- Strong analytical, written, and verbal communication skills and eagerness to learn.
Preferred Qualifications
Experience or project exposure to one or more of the following is beneficial:
- Web development and .NET development
- Prompt engineering, Microsoft Copilot Studio
- RAG, vector databases, semantic/vector search
- Semantic Kernel or other AI orchestration frameworks
- PyTorch, TensorFlow, or other ML frameworks
- Docker, containerized apps, GitHub, CI/CD pipelines
- SQL and NoSQL databases; data analytics & visualization
- Enterprise identity and security concepts; CAD/FEA integration
Knowledge & Behaviors
- Curiosity about emerging technologies and experimentation.
- Engineering mindset — move beyond demos to build maintainable solutions.
- Strong problem-solving: decompose complex business problems into technical components.
- Awareness of Responsible AI issues: bias, security, privacy, accuracy, and human oversight.
- Collaborative team player; able to explain technical topics to technical and nontechnical audiences.
- Adaptable to a fast-evolving technology environment.
Location & Employment Details
- Location: Troy, MI — Hybrid / On-site as applicable.
- Employment type: Full time, regular / permanent.
- Confidential Client is committed to following applicable US employment and privacy laws for this role.
Compensation (as listed)
- Estimated annual figure shown in source material: $76,921 per year (estimated). Actual pay may vary based on experience, skills, and location.
Next Steps
Careertakes may surface this role and additional matched opportunities to qualified applicants. If you proceed with an application through Careertakes, AI tools may be used to assist with initial resume screening; human reviewers make final hiring decisions.
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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