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AI Engineer – Data Guardrails, LLM Ingestion Pipelines
AWISEEAI Engineer designing and building data ingestion pipelines for digital marketing solutions. Collaborating with teams to develop AI-ready datasets and implement data quality frameworks.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing scalable data ingestion pipelines and automated data cleaning workflows, with a strong focus on implementing AI guardrails for data quality. Proficient in collaborating with cross-functional teams to enhance data processes and quality.
Highest-signal resume keywords
Python ExpertiseSQL ProficiencyAI Engineering ExperienceETL/ELT Pipeline KnowledgeFamiliarity with AWS
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLAI EngineeringETL PipelinesELT Pipelines
Soft Skills
Collaboration
Tools & Technologies
OpenAI APIAWSDockerKubernetes
Tech Stack
Tools & technologiesAWSDockerETLKubernetesPythonSQL
About the role
Key responsibilities & impact- Design and develop scalable data ingestion pipelines
- Build automated data cleaning workflows
- Implement AI guardrails for data quality
- Collaborate with cross-functional teams
Requirements
What you’ll need- 1-3 years of experience in AI engineering
- Expert in Python
- Proficient in SQL
- Experience with OpenAI API
- Knowledge of ETL/ELT Pipelines
- Familiarity with AWS, Docker, or Kubernetes
Benefits
Comp & perks- Health insurance
- Paid time off
- Remote work options