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Daily Activities
- Architect and Prepare Environment: Define architecture and set up AWS infrastructure focused on R&D needs, with simplified fault analysis and countermeasure features.
- Develop and Integrate AI System: Build a minimal, functional chat interface accessible via browser, and embed generative AI for troubleshooting automation.
- Pipeline and Data Management: Develop data acquisition and processing pipelines, integrate internal data into vector databases, and implement LLM calls with prompt engineering.
- Evaluation and Tuning: Conduct qualitative and quantitative assessments, incorporating user feedback to improve system accuracy and performance.
- Experience with Generative Artificial Intelligence: The candidate must have experience in building and integrating systems with generative AI, particularly focused on automating troubleshooting processes.
- Knowledge in System Architecture: Ability to design a system architecture that integrates generative AI with internal and external data systems, as outlined in the project (e.g., AWS, DynamoDB, S3).
- Application Development with Chatbots: Proven experience with chatbots and conversational interfaces for automatic data input and extraction.
- Proficiency with AWS and Related Tools: Expertise in AWS services, including Lambda, API Gateway, Opensearch, and embedding models for vectorized search functionalities.
Key Skills
Ranked by relevance
c
ai
ha
aws
ui
artificial intelligence
dynamodb
lua
s3
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- Posted
- Nov 17, 2024
- Type
- Full-time
- Level
- Entry
- Location
- Brazil
- Company
- Netvagas
Industries
Human Resources Services
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
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2026-05-26
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Slovenia
Human Resources Services
Engineering
View Job Details
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Senior Backend Engineer, Node.js + AWS
2026-05-23
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Senior Backend Engineer (Elixir)
2026-05-22
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