BrazilSenior LLM Engineer (RAG & AWS Bedrock)
2 мес. назад
BrazilLATAMSeniorRemoteC1
awsbedrockretrieval-augmented generationsemantic searchconversational ainatural language processing
Senior LLM Engineer to design and implement RAG solutions and conversational AI powered by AWS Bedrock.
О компании
- Join Our Team , 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 , 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 Eng
Обязанности
- Design and implement Retrieval-Augmented Generation (RAG) architectures.
- Build AI-powered chatbot experiences using AWS Bedrock.
- Develop multi-source data ingestion and retrieval pipelines.
- Design and optimize embeddings and semantic search strategies.
- Build scalable vector search solutions for enterprise knowledge retrieval.
- Integrate structured and unstructured data sources into AI workflows.
- Develop prompt engineering strategies to improve response quality and accuracy.
- Build cloud-native AI services using AWS.
- Collaborate with engineering teams to improve AI performance, scalability, and reliability.
- Continuously evaluate new AI technologies and best practices for enterprise LLM applications.
Требования
- 5+ years of professional software engineering experience.
- Strong Python development experience.
- Hands-on experience building Generative AI applications.
- Experience working with AWS cloud services.
- Strong understanding of Retrieval-Augmented Generation (RAG).
- Experience building scalable backend applications.
- Strong analytical and problem-solving skills.
- Experience working in Agile environments.
- Strong written and verbal English communication skills.
- Strong Python development experience.
- Hands-on experience with AWS Bedrock.
- Experience building Retrieval-Augmented Generation (RAG) solutions.
- Experience working with: Embeddings
- Vector Search
- Semantic Search
- Experience building AI-powered chatbot applications.
- Experience designing multi-source data ingestion pipelines.
- Experience working with S3 Data Lakes.
- Strong Prompt Engineering experience.
- Experience integrating multiple enterprise data sources.
- Strong understanding of Large Language Models (LLMs).
- Experience designing scalable AI architectures.
Будет плюсом
- Experience with: LangChain
- LlamaIndex
- Pinecone
- Weaviate
- OpenSearch Vector
- ChromaDB
- FAISS
- Experience building conversational AI applications.
- Experience with enterprise knowledge management systems.
- Experience with API Gateway.
- Experience with EventBridge or SQS.
- Experience with Infrastructure as Code.
- Experience optimizing LLM performance and retrieval quality.
- Experience with connected TV (CTV), AdTech, or advertising analytics platforms.