Software Engineer

Amazon.com, Inc.
Redmond, WA, United States
16 days ago
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Role details

Contract type
Internship / Graduate position
Employment type
Part-time (≤ 32 hours)
Compensation
$85,000.0 - $120,000.0
Working hours
Regular working hours

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Computer Programming Python (Programming Language) Software Engineering TypeScript Large Language Models Prompt Engineering Generative AI Information Technology

Job description

o Assist the Flow engineering team with prototyping and testing AI-powered features and workflows. o Build a small proof-of-concept using modern AI/LLM technologies and APIs. o Explore prompt design, AI agents, workflow automation, and basic evaluation techniques. o Support testing and documentation of AI features and prototype results. o Participate in engineering discussions, demos, and knowledge-sharing sessions. o Present a brief summary/demo of the internship project at the end of the program.

Requirements

· Currently enrolled in a college or university program, preferably in Computer Science, Engineering, Data Science, or a related field. · Basic programming experience in Python, JavaScript/TypeScript, or a similar language. · Interest in AI, generative AI, LLMs, and software development. · Curious, self-motivated, and willing to learn new technologies. · Prior professional experience is not required.

About the company

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem-comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets-to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. About Job

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