AI Engineer

AI Engineer
Location: Sunnyvale, CA or Austin, TX (5x/ week onsite)

Responsibilities:
• Pilot next-generation technologies solving problems traditional programming struggles with by utilizing Gen AI or other machine learning techniques • Experience in building or maintaining RAG solutions • Experience in developing with Claude, Gemini, or similar LLMs SDKs or APIs • Design and manage ETL pipelines on cloud platforms (preference for AWS) • Utilize tools Like Airflow to orchestrate tasks and CLoud Watch to manage notifications • Collaborate with cross-functional teams to enhance data-driven decision making, ensuring alignment of machine learning projects with our strategic business goals • Develop containerized applications to improve data accuracy, accessibility, and reliability through customized Python solutions • Contribute to data governance workflow, improving data quality, standardizing definitions, training, and onboarding data stewards to own their teams' KPIs Qualifications:
• Proven experience in data engineering, with a strong focus on machine learning operations • Proficiency in developing ETL pipelines and architecting big data solutions • Expertise in one cloud platform and a proven record of working on at least one project end to end • Strong collaboration skills, with the ability to work effectively across diverse teams • A passion for innovation, driven by a desire to push the boundaries of what's possible with technology in an ambiguous environment


Role Descriptions: Responsibilities Pilot next-generation technologies solving problems traditional programming struggles with by utilizing Gen AI or other machine learning techniques Experience in building or maintaining RAG solutions Experience in developing with Claude| Gemini| or similar LLMs SDKs or APIs Design and manage ETL pipelines on cloud platforms (preference for AWS) Utilize tools Like Airflow to orchestrate tasks and CLoud Watch to manage notifications Collaborate with cross-functional teams to enhance data-driven decision making| ensuring alignment of machine learning projects with our strategic business goals Develop containerized applications to improve data accuracy| accessibility| and reliability through customized Python solutions Contribute to data governance workflow| improving data quality| standardizing definitions| training| and onboarding data stewards to own their teams KPIs Qualifications Proven experience in data engineering| with a strong focus on machine learning operations Proficiency in developing ETL pipelines and architecting big data solutions Expertise in one cloud platform and a proven record of working on at least one project end to end Strong collaboration skills| with the ability to work effectively across diverse teams A passion for innovation| driven by a desire to push the boundaries of whats possible with technology in an ambiguous environment Essential Skills: AI Engineer Desirable Skills:
Keyword:
Skills: Digital : Python~Digital : Artificial Intelligence(AI) Experience Required: 8-10

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.