AI Engineer Intern (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Engineer Intern (AI): Developing generative AI tools and agents to automate internal engineering workflows with an accent on RAG pipelines and AI-driven operational efficiency. Focus on building proof-of-concept agents, optimizing LLM-based workflows, and integrating AI-assisted coding tools.
Location: Remote (Must be based in the US)
Salary: $45/hour
Company
is a Real Human + Right Human Identity Trust Platform specializing in continuous identity verification and deepfake detection across voice, video, and digital interactions.
What you will do
- Build proof-of-concept AI agents to automate complex internal engineering workflows, such as incident analysis or code review summaries.
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for internal technical documentation and runbooks.
- Collaborate with cross-functional teams to identify operational bottlenecks and implement AI-driven fixes.
- Test and document the use of emerging AI-assisted coding and monitoring tools for the engineering organization.
- Ensure automated workflows follow strict data hygiene and secrets management protocols.
Requirements
- Current student pursuing a Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
- Strong working knowledge of Python for automation and data processing.
- Demonstrated project experience in AI/ML, specifically involving Large Language Models (LLMs) and prompt engineering.
- Familiarity with Git workflows.
- Must be based in the US.
Nice to have
- Hands-on experience with RAG frameworks and vector databases (e.g., FAISS).
- Foundational experience with AWS or GCP services (Lambda, S3, or SageMaker).
- Exposure to CI/CD concepts or infrastructure-as-code (GitHub Actions, Docker).
Culture & Benefits
- Opportunity to work on high-impact systems protecting financial institutions and consumers from fraud.
- Hands-on experience in a modern environment alongside experts in security, AI, and voice intelligence.
- Commitment to a diverse and inclusive work environment with a broad range of perspectives.
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