Hiring: AI/ML Engineer Company: HTC Global Services Location: Dearborn, MI Job Posted Time: 2026-09-15 12:34:09 Target Skills & Keywords : AI, CI/CD, Data Pipeline, GCP, Java, LLM, Machine Learning, Python, RAG, SQL, Systems Engineering About the job Experience: •5+ years of experience building and operating production software, data, or machine learning systems. Required Skills: •The ideal candidate can move from architecture through implementation to operational ownership and enjoys solving complex problems where data quality, scale, and reliability are important. •Architect, build, and operate reliable data products that ingest and transform diverse structured and unstructured information at enterprise scale. •Create resilient orchestration and delivery patterns for batch and near-real-time workloads, including observability, alerting, and operational runbooks. •Develop production Retrieval-Augmented Generation (RAG) systems that combine semantic retrieval, structured data, and grounded responses for engineering use cases. •Design agentic AI workflows that decompose complex questions, select appropriate data sources and tools, validate results, and provide explainable answers with citations. •Develop and evaluate embedding, document-understanding, and multimodal inference workflows while balancing quality, latency, scalability, and cost. •Lead cloud architecture, containerization, infrastructure-as-code, and CI/CD practices for secure and repeatable deployment across environments. •Own system reliability from design through production by investigating incidents, profiling performance, eliminating failure modes, and improving capacity planning. Qualifications: •Bachelor's degree. •Strong Python and SQL skills. •Professional experience with cloud platforms, managed data services, object storage, containers, and distributed workloads. •Hands-on experience applying large language models to real products, including prompt design, structured outputs, tool use, evaluation, and production monitoring. •In-depth knowledge of embeddings, vector retrieval, RAG architecture, model limitations, and techniques for improving answer quality and faithfulness. •Demonstrated ability to diagnose difficult production problems using measurable evidence, experimentation, profiling, and disciplined root-cause analysis. Compensation: •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!