2 дня назад
AI Engineering Intern (AI)
45$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineering Intern (AI/LLMs): Building proof-of-concept AI agents and Retrieval-Augmented Generation pipelines for internal engineering workflows with an accent on automation, technical documentation, and security-minded data handling. Focus on developing intelligent workflows, experimenting with emerging AI coding and monitoring tools, and integrating LLMs into enterprise engineering operations.
Location: US-Remote
US base pay range: $45–$45 USD
Company
provides identity verification and deepfake detection across voice, video, and digital interactions to help enterprises reduce fraud and protect high-risk customer communications.
What you will do
- Build proof-of-concept AI agents for internal engineering workflows, including incident analysis and code review summaries.
- Develop and optimize RAG pipelines for technical documentation and runbooks.
- Identify operational bottlenecks and implement AI-driven improvements.
- Evaluate and document emerging AI-assisted coding and monitoring tools.
- Apply data hygiene and secrets management practices to automated workflows.
Requirements
- Pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.
- Knowledge of Python for automation and data processing.
- Project experience or demonstrated interest in AI/ML, LLMs, and prompt engineering.
- Familiarity with Git workflows.
- Must be available for US-Remote work.
Nice to have
- Experience building small ML pipelines or working with vector databases and RAG frameworks.
- Foundational experience with AWS or GCP services such as Lambda, S3, or SageMaker.
- Exposure to CI/CD or infrastructure-as-code tools such as GitHub Actions and Docker.
Culture & Benefits
- Hands-on experience working with security, AI, and voice intelligence specialists.
- Opportunity to build enterprise AI systems focused on fraud prevention and identity trust.
- Work on technology supporting financial institutions, insurers, healthcare providers, and consumers.
- Inclusive workplace with a commitment to diversity and equal opportunity.
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