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Technical Trainer For Ai Coding Projects Jobs in Michigan

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Technical Trainer For Ai Coding Projects information

What are some common challenges technical trainers for AI coding projects face when teaching complex machine learning concepts to diverse groups?

Technical Trainers for AI coding projects often encounter the challenge of bridging varying skill levels within a single training group. Participants may range from beginners to experienced programmers, requiring the trainer to adapt explanations and hands-on activities accordingly. Additionally, keeping up with rapidly evolving AI tools and frameworks means trainers must continuously update their own knowledge and course materials. Facilitating interactive, project-based learning while ensuring everyone stays engaged and understands foundational concepts is key to success in this role.

What are the key skills and qualifications needed to thrive as a technical trainer for AI coding projects, and why are they important?

To thrive as a Technical Trainer for AI Coding Projects, you need deep expertise in AI concepts, programming (such as Python), and instructional design, often supported by a relevant degree and experience in software development or AI. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and learning management systems, as well as certifications in AI or machine learning, is highly valuable. Excellent communication, patience, and adaptability help trainers engage diverse learners and tailor content to various skill levels. These skills ensure effective knowledge transfer, foster student confidence, and keep pace with evolving technology in the fast-moving AI field.

What does a technical trainer for AI coding projects do?

A Technical Trainer for AI Coding Projects is responsible for designing and delivering training programs that teach individuals or teams how to develop, implement, and maintain artificial intelligence models and applications. They create instructional materials, lead hands-on coding workshops, and provide guidance on best practices in machine learning, deep learning, and related technologies. Technical Trainers also stay up to date with the latest AI tools and frameworks to ensure learners acquire relevant and practical skills for real-world projects.

What is the difference between Technical Trainer For Ai Coding Projects vs Technical Instructor For AI Courses?

AspectTechnical Trainer For Ai Coding ProjectsTechnical Instructor For AI Courses
CredentialsRelevant certifications in AI, programming, and trainingSimilar certifications, often including teaching credentials or industry certifications
Work EnvironmentHands-on project environments, corporate training, or workshopsClassroom or online course settings, academic or training institutions
Employer & Industry UsageTech companies, startups, corporate training firmsUniversities, online education platforms, training institutes
Search & Comparison IntentFocus on practical AI coding skills and project-based trainingFocus on teaching AI concepts and curriculum delivery

While both roles involve training in AI, the Technical Trainer For Ai Coding Projects emphasizes hands-on project work and practical coding skills in real-world environments. In contrast, the Technical Instructor For AI Courses typically focuses on delivering theoretical knowledge and structured curricula in academic or online settings.

What are popular job titles related to Technical Trainer For Ai Coding Projects jobs in Michigan? For Technical Trainer For Ai Coding Projects jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Technical Trainer For Ai Coding Projects jobs in Michigan look for? The top searched job categories for Technical Trainer For Ai Coding Projects jobs in Michigan are:
What cities in Michigan are hiring for Technical Trainer For Ai Coding Projects jobs? Cities in Michigan with the most Technical Trainer For Ai Coding Projects job openings:

Senior AI Software Engineer - Multi-Agent Systems (Python, GCP)

HTC Global Services

Dearborn, MI • On-site

$111K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Job Title
Senior AI Software Engineer - Multi-Agent Systems (Python, GCP)
Overview
We are seeking a hands-on Senior AI Software Engineer to design, build, and enhance AI-powered multi-agent systems. This individual contributor role combines technical architecture with daily software development, focusing on scalable AI solutions, full-stack application development, and production-grade engineering practices.
Key Responsibilities
  • Design and develop multi-agent AI systems and evaluate architectural approaches, including single-agent vs. multi-agent systems and retrieval-augmented generation (RAG) vs. fine-tuning.
  • Contribute to architecture decision documentation and technical design discussions.
  • Develop production-grade code for AI agent frameworks, backend services, frontend applications, and LLM-powered workflows.
  • Build AI capabilities including natural language to SQL, semantic search, metadata enrichment, and AI guardrails.
  • Implement observability and monitoring for AI system outputs.
  • Develop backend applications using Python and FastAPI.
  • Develop frontend applications using Angular or React.
  • Build chat interfaces, APIs, and evaluation or benchmarking tools.
  • Own features throughout the complete software development lifecycle.
  • Maintain high code quality through code reviews and engineering best practices.
  • Perform root cause analysis and troubleshoot AI agent failures.
  • Collaborate with Product, Data Engineering, and Platform teams.
  • Mentor team members and support sprint planning and onboarding activities.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • 5+ years of professional software engineering experience with strong hands-on coding skills.
  • Experience building AI-powered applications or operating LLM-based systems in production environments.
  • Experience designing and developing AI or expert systems.
  • Proficiency with Python and FastAPI.
  • Experience with Angular or React.
  • Experience working with Google Cloud Platform (GCP).
  • Familiarity with AI coding tools such as Claude Code, OpenCode, or similar tools.
  • Ability to interpret ambiguous requirements and independently deliver well-tested software.

Preferred Qualifications
  • Master's degree in a related technical field.
  • Experience with Google Agent Development Kit (ADK) or comparable agent frameworks such as CrewAI or LangGraph.
  • Familiarity with data engineering practices and data governance.
  • Applied machine learning experience, including embeddings, classification, clustering, natural language processing, and evaluation metrics.

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
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