ND
Remote
(Anywhere)
Salary Range
BRL
Full Time Employee
Experience Level
Senior
Requirements
5+ years of experience in the career
SDK
Microsoft Azure
Agentic AI
Azure OpenAI
LLM
OCR
Workato
Embeddings
Vector Search
RAG
AWS
API
Desired Skills
Document Ingestion Pipelines
Reference Verification
Metadata Extraction
Vector Databases
DigitalNet
AI Governance
Citation Verification
Tasks and Responsibilities
Show originalAbout the Role
We are seeking a Generative AI Engineer/Architect to design, develop, and deploy artificial intelligence solutions in corporate environments.
The successful candidate will work with RAG (Retrieval-Augmented Generation) systems, AI agents, orchestration pipelines, and AI governance features. Mastery of modern LLM platforms, vector databases, orchestration tools, and cloud AI services is required.
Key Responsibilities
- Architect complete Generative AI solutions using LLMs, RAG, embeddings, and vector search.
- Develop AI systems based on agents (Agentic AI) and orchestration layers.
- Create document ingestion pipelines, including OCR and metadata extraction.
- Develop modules for citation and reference verification.
- Design APIs, SDKs, and integration layers.
- Implement AI orchestration using Workato, AWS tools, or DigitalNet.
- Deploy AI workloads on Microsoft Azure OpenAI.
What We Expect
Solid experience with the architecture and engineering of Generative AI solutions, along with practical knowledge of AI governance, vector databases, and cloud services.
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