Senior LLM Engineer (RAG & AWS Bedrock)
- Role
- AI / ML
- Experience
- Senior
The listing doesn't say where it hires from. It may hire in Brazil (87% confidence). This is an estimate, not an eligibility rule; verify before applying.Signals: stated job location and company headquarters.
No BS summary
Senior LLM Engineer to build AI-powered data intelligence platforms using RAG solutions, semantic search, and conversational AI with AWS Bedrock. Requires strong experience in Generative AI, RAG architectures, vector search, embeddings, and cloud-native AI services.
Core skills
Required skills
Required languages
Join Our Team
Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.
As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.
We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.
About the Role We are looking for an experienced Senior LLM Engineer to build an AI-powered data intelligence platform that enables users to interact with multiple enterprise data sources through natural language. This role focuses on designing and implementing Retrieval-Augmented Generation (RAG) solutions, semantic search, and conversational AI experiences powered by AWS Bedrock. You will build scalable AI pipelines capable of retrieving, processing, and synthesizing information from multiple structured and unstructured data sources into an intuitive chatbot experience. The ideal candidate has strong experience building Generative AI applications, designing RAG architectures, and working with vector search, embeddings, and cloud-native AI services.
What you'll do
- Build an AI-powered data intelligence platform that enables users to interact with multiple enterprise data sources through natural language
- Design and implement Retrieval-Augmented Generation (RAG) solutions, semantic search, and conversational AI experiences powered by AWS Bedrock
- Build scalable AI pipelines capable of retrieving, processing, and synthesizing information from multiple structured and unstructured data sources into an intuitive chatbot experience
What they require
- Experienced Senior LLM Engineer
- Strong experience building Generative AI applications
- Strong experience designing RAG architectures
- Strong experience working with vector search, embeddings, and cloud-native AI services
- Proficient in English
Benefits
- Home office
- Competitive compensation based on experience
- Career plans to allow for extensive growth in the company
- International Projects
- Oowlish English Program (Technical and Conversational)
- Oowlish Fitness with Total Pass
- Games and Competitions