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Professional Llm Developer Jobs in Michigan (NOW HIRING)

... professional software engineering experience with demonstrated hands-on coding proficiency.Demonstrable experience building AI-powered applications or operating LLM-based systems in production ...

... professional software engineering experience with demonstrated hands-on coding proficiency. * Demonstrable experience building AI-powered applications or operating LLM-based systems in production ...

... professional software engineering experience with demonstrated hands-on coding proficiency. * Demonstrable experience building AI-powered applications or operating LLM-based systems in production ...

Full Stack Developer

Dearborn, MI · On-site

$61 - $66/hr

... professional software engineering experience with demonstrated hands-on coding proficiency. * Demonstrable experience building AI-powered applications or operating LLM-based systems in production ...

... professional software engineering experience with demonstrated hands-on coding proficiency. * Demonstrable experience building AI-powered applications or operating LLM-based systems in production ...

Integrate LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into scalable applications * Develop ... years of professional software development experience * Strong programming skills in Python ...

Integrate LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) into scalable applications * Develop ... years of professional software development experience * Strong programming skills in Python ...

$111K - $146K/yr

Professional experience building or supporting AI-enabled applications, LLM-based solutions ... Experience with RAG, prompt engineering, agentic AI, orchestration patterns, or MCP development.

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

... 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 ...

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Professional Llm Developer information

What are Professional LLM Developers?

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 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 key skills and qualifications needed to thrive as a Professional LLM Developer, and why are they important?

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 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:

Full Stack Developer

Stefanini

Dearborn, MI • On-site

Other

Re-posted 16 days ago


Job description


Stefanini Group is hiring!
Stefanini is looking for a Full Stack Developer (Dearborn, MI)
For quick apply, please reach out to Navneet Pathak at +1 /
We are looking for candidates who will focus on building AI/agentic systems for an Enterprise Data Platform, with emphasis on multi-agent orchestration on Google Cloud Platform (Google Cloud Platform).
ResponsibilitiesArchitecture: Design multi-agent AI systems, evaluate trade-offs (single vs. multi-agent, RAG vs. fine-tuning), and contribute to Architecture Decision Records.Hands-on Coding: Daily production-grade code across agent frameworks, backend/frontend, and LLM-powered workflows (NL-to-SQL, semantic search, metadata enrichment), plus guardrails and observability for AI outputs. Familiarity with Agentic coding tools like opencode, Claude code, etc., is expected.Full-Stack Work: Backend (Python/FastAPI) and frontend (Angular/React) development, chat and API interfaces, and evaluation/benchmarking tools, with end-to-end feature ownership.Engineering Excellence: Maintain high code quality, lead by example in reviews, conduct root-cause analysis on agent failures, and act as the team's technical anchor for tough problems.Collaboration: Work with Product, Data Engineering, and Platform teams; mentor others, support sprint planning, and help onboard new hires. In short, the role combines deep technical architecture responsibility with daily hands-on coding, centered on building robust, scalable multi-agent AI systems and serving as the team's go-to technical expert.
Skills Required:Artificial Intelligence & Expert Systems
Skills Preferred:Google Cloud Platform
Experience Required:5+ years of professional software engineering experience with demonstrated hands-on coding proficiency.Demonstrable experience building AI-powered applications or operating LLM-based systems in production environments.Experience with the Google Agent Development Kit (ADK) or comparable agent frameworks, such as CrewAI or LangGraph.Familiarity with data engineering practices and data governance processes.Applied machine learning experience encompassing embeddings, classification, clustering, natural language processing, and evaluation metrics.
Education Required:Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
Education Preferred:Master's Degree
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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