Applied AI Engineer I
Daimler Truck North America1 day ago
Base Salary
$71k - $91k/yr
Responsibilities
- Support governed data pipelines and prepare, clean, validate, and connect engineering quality, compliance, manufacturing, service, warranty, and field data.
- Assist with SQL queries, data models, metadata, and data-quality checks for analytics and AI-assisted workflows.
- Configure AI-agent workflows, retrieval patterns, prompt examples, test cases, and deployment-support materials.
- Prepare standards, process guidance, historical examples, compliance references, and engineering knowledge for AI-assisted workflows and evaluation datasets.
- Test, validate, and deploy AI-agent capabilities using enterprise platforms, Snowflake-enabled data, Microsoft 365 Copilot, Copilot Studio, APIs, and related tools.
- Measure agent output quality, efficiency, token usage, user feedback, and accuracy through evaluation datasets, regression testing, grounding checks, and stress testing.
- Maintain implementation notes, configuration change logs, user guidance, training aids, data definitions, limitations, and adoption content in enterprise knowledge platforms.
- Support user acceptance testing, adoption, and cross-functional implementation with engineering, manufacturing, service, quality, IT, and other stakeholders.
Requirements
- Bachelor’s degree in engineering, computer science, data science, or a related technical field.
- 0–2 years of relevant experience through work, internships, co-ops, academic projects, or applied technical projects.
- Foundational understanding of AI/ML and GenAI concepts, including large language models, embeddings, retrieval, prompt patterns, and basic model evaluation.
- Awareness of responsible AI practices such as grounding, hallucination reduction, privacy, access control, bias awareness, and human review.
- Basic experience preparing, cleaning, validating, joining, and documenting datasets for analytics, automation, or AI-assisted workflows.
- Working knowledge of SQL, Python, REST APIs, and enterprise data-platform concepts including Snowflake or similar environments.
- Familiarity with version control, configuration tracking, code review, testing, technical documentation, evaluation datasets, and regression testing.
- Familiarity with collaboration, documentation, and issue-tracking tools such as Jira, Azure DevOps, Confluence, SharePoint, or similar platforms.
- Preferred experience includes AI-enabled workflows, custom AI agents, retrieval-augmented generation, vector search, prompt engineering, agent evaluation, enterprise data platforms, dashboards, automotive or manufacturing data, and quality-improvement methods.
- Applicants must be legally authorized to work permanently in the United States at the time of application and must complete applicable background and screening requirements.
Benefits
- Starting salary range of $71,000 to $91,000 USD.
- 401k company contribution with company match up to 8% and non-elective contribution of 3–7% depending on age.
- Starting at 4 weeks of paid vacation, 13+ calendar holidays, and 8 weeks of paid parental leave.
- Employee assistance program, comprehensive healthcare plans, wellness programs, onsite fitness at some locations, tuition assistance, volunteer paid time off, and short- and long-term disability plans.
- Hybrid schedule in Portland, Oregon, with 4 days per week in-office and 1 day remote.
- Relocation assistance is not available.
Categories
About Daimler Truck North America
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