Sr. AI/ML Engineer

Systems Technology Group, Inc. (STG); Dearborn (MI); On-site; USD 120,000 - 180,000; Full time

Job summary

STG, a fast-growing Digital Transformation services company, is hiring an AI/ML Engineer in Dearborn, Michigan. You will build production ML systems, apply embeddings and RAG techniques, and design agentic AI workflows that decompose questions and cite sources.

Responsibilities include leading cloud architecture, IaC, CI/CD, and scalable data pipelines, with hands-on work on large language models, model evaluation, and production monitoring in a fast-paced environment.

Qualifications

• 5+ years building and operating production software, data, or ML systems with Python and SQL.
• Develop production Retrieval-Augmented Generation systems with semantic retrieval and structured data.
• Design agentic AI workflows that decompose questions and cite sources.
• Develop embedding, document-understanding, and multimodal workflows balancing quality and latency.
• Lead cloud architecture, IaC, and CI/CD for secure deployment across environments.
• Experience with cloud platforms, managed data services, object storage, containers, and distributed workloads.
• Experience building scalable data pipelines or distributed processing on large datasets.
• Hands-on experience applying LLMs to real products, including prompt design and monitoring.
• Strong understanding of embeddings, vector retrieval, RAG architecture and faithfulness.

Skills

Python

SQL

Embeddings/RAG

Prompt design

Tool usage

Cloud architecture

CI/CD

Observability

Root-cause analysis

Distributed workloads

Job description

Description: STG is a fast-growing Digital Transformation services company providing Fortune 500 companies with Digital Transformation, Mobility, Analytics and Cloud Integration services in both information technology and engineering product lines. STG has a 98% repeat business rate from existing clients and have achieved industry awards and recognition for our services.

Experience Required:

• 5+ years of experience building and operating production software, data, or machine learning systems, with strong Python and SQL skills.
• Develop production Retrieval-Augmented Generation systems that combine semantic retrieval, structured data, and grounded responses for high-value engineering use cases.
• Design agentic AI workflows that decompose complex questions, select the right data sources and tools, validate results, and return explainable answers with citations.
• Develop and evaluate embedding, document-understanding, and multimodal inference workflows, balancing quality, latency, scalability, and cost.
• Lead cloud architecture, containerization, infrastructure-as-code, and CI/CD practices for secure, repeatable deployment across environments.
• Professional experience with cloud platforms, managed data services, object storage, containers, and distributed workloads.
• Experience designing and operating scalable data pipelines or distributed processing systems for large and evolving datasets.
• Hands-on experience applying large language models to real products, including prompt design, structured outputs, tool use, evaluation, and production monitoring.
• Strong understanding of embeddings, vector retrieval, RAG architecture, model limitations, and techniques for improving answer quality and faithfulness.
• Experience with software engineering fundamentals: testing, code review, version control, CI/CD, observability, and secure development practices.
• Demonstrated ability to diagnose difficult production problems using measurable evidence, experimentation, profiling, and disciplined root-cause analysis.
• Experience with workflow orchestration, job scheduling, or reliable batch execution frameworks

Experience Preferred:

• Experience with agentic AI frameworks, tool-using systems, or multi-step reasoning workflows.
• Experience with managed generative AI, model serving, batch inference, or vector database platforms.
• Experience with infrastructure-as-code and automated cloud delivery.
• Experience extracting meaning from complex documents, legacy formats, technical diagrams, or other semi-structured content at scale.
• Experience in automotive, manufacturing, safety-critical, systems engineering, or another technically regulated domain.
• Experience building internal analytics products or developer-facing tools that translate complex data into clear decisions.

AI/ML Engineer position is based at Dearborn, Michigan. A great opportunity to experience the corporate environment leading personal career growth.

• For more information about STG, please visit us at www.stgit.com.