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Professional Llm Developer Jobs in Michigan (NOW HIRING)

NICE

... of professional software engineering experience with Python or TypeScript in production environments • Hands-on experience building and deploying LLM-powered applications: RAG pipelines, agents ...

New

NICE

... of professional software engineering experience with Python or TypeScript in production environments • Hands-on experience building and deploying LLM-powered applications: RAG pipelines, agents ...

New

Stefanini

Backend Developer

Dearborn, MI · On-site

Experience PreferredExperience integrating with LLM inference APIs or AI engine backends ... Google Cloud Professional Cloud Developer certification.Familiarity with OpenAPI specification and ...

THOMSON REUTERS

Principal Engineer

Ann Arbor, MI · Hybrid

... legal professionals move beyond prompting and start delegating. As a Principal Software Engineer ... Analyze and tune LLM usage for cost efficiency: Partner with AI/ML and platform teams to right-size ...

Aquent

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Are you a passionate professional ready to transform the financial landscape with intelligent ... Experience with LLM platforms such as OpenAI, Anthropic Claude, Azure OpenAI, or Gemini.

Kobie Marketing

AI Engineer

Detroit, MI · On-site +1

Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Kobie Marketing

AI Engineer

Detroit, MI · On-site

Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

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Professional Llm Developer information

What is a professional LLM developer?

Professional LLM Developers are software engineers or specialists who design, build, and optimize applications and systems that leverage large language models (LLMs) like GPT-4, Claude, or similar AI models. Their work often involves integrating LLMs into products, fine-tuning models for specific tasks, ensuring safe and ethical AI use, and improving performance. They may also create tools and frameworks that facilitate the deployment and scaling of LLM-powered applications. Their expertise combines software development, machine learning, and natural language processing.

What are the key skills and qualifications needed to thrive as a professional LLM developer?

To thrive as a Professional LLM Developer, you need expertise in machine learning, natural language processing, and strong programming skills in languages like Python, often supported by a degree in computer science or related fields. Familiarity with deep learning frameworks (such as PyTorch or TensorFlow), experience with large language model architectures, and knowledge of cloud platforms are typically required, along with certifications like TensorFlow Developer or AWS Certified Machine Learning. Strong problem-solving abilities, teamwork, and effective communication distinguish top performers in this role. These skills ensure the development, fine-tuning, and deployment of robust LLM solutions that meet business and technical needs.

What are some common challenges faced by professional LLM developers when deploying large language models in production environments?

Professional LLM Developers often encounter challenges such as optimizing model performance to balance accuracy with computational efficiency, managing latency for real-time applications, and ensuring data privacy and security. Additionally, integrating LLMs with existing systems and maintaining model versioning can be complex. Collaboration with cross-functional teams, such as data engineers and product managers, is essential to address these challenges and ensure the successful deployment and ongoing maintenance of LLM-driven solutions.

What is the difference between Professional Llm Developer vs Machine Learning Engineer?

AspectProfessional Llm DeveloperMachine Learning Engineer
CredentialsTypically requires advanced degrees in AI, NLP, or related fields; certifications in AI/MLOften holds degrees in computer science, data science, or engineering; certifications in ML frameworks
Work EnvironmentFocuses on developing and fine-tuning large language models, often in research or specialized AI teamsDesigns, builds, and deploys ML models across various applications, in industry or tech companies
Industry UsagePrimarily in AI research, NLP, and companies developing LLM-based productsUsed across tech, finance, healthcare, and other sectors for predictive modeling and automation

While both roles involve AI and machine learning, a Professional Llm Developer specializes in large language models and NLP, whereas a Machine Learning Engineer works on a broader range of ML applications and models across industries.

What are the most commonly searched types of Llm Developer jobs in Michigan?

The most popular types of Llm Developer jobs in Michigan are:

What are popular job titles related to Professional Llm Developer jobs in Michigan?

For Professional Llm Developer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Professional Llm Developer jobs in Michigan look for?

The top searched job categories for Professional Llm Developer jobs in Michigan are:

What cities in Michigan are hiring for Professional Llm Developer jobs?

Cities in Michigan with the most Professional Llm Developer job openings:

Professional Llm Developer jobs near you

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

Re-posted 1 hour 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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