Senior Data Engineer
New
J
JobgetherAI & Data
BrazilContractSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonGitRESTful APIsGenerative AILangChain
Requirements
- Solid experience developing AI Agents and Generative AI solutions.
- Experience with AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, Agno, or equivalent technologies.
- Advanced knowledge of Python, including service development, REST APIs, and SDK creation.
- Experience integrating enterprise systems, APIs, and architectures based on events and microservices.
- Knowledge of RAG pipelines, including ingestion processes, chunking strategies, indexing, and vector databases.
- Experience with technologies such as Azure AI Search, Pinecone, FAISS, Vertex Matching Engine, or similar solutions.
- Experience using Git and project management tools such as Jira or Azure DevOps.
- Strong problem-solving abilities and ability to work with complex technical challenges.
- Collaborative mindset with excellent communication skills.
- Proactive attitude, sense of urgency, and ability to prioritize tasks effectively.
Responsibilities
- Design, develop, implement, and operate Agentic AI solutions for enterprise process automation and intelligent workflows.
- Build Generative AI solutions using modern architectures, including multi-agent systems and AI-powered applications.
- Develop scalable services, APIs, and integrations to connect AI solutions with enterprise platforms.
- Create and optimize Retrieval-Augmented Generation (RAG) pipelines, including data ingestion, chunking, indexing, and vector-based search.
- Work with vector databases and AI search technologies to support intelligent information retrieval.
- Integrate AI solutions with enterprise systems, APIs, and event-driven or microservices architectures.
- Apply software engineering best practices to ensure reliable, maintainable, and scalable solutions.
- Collaborate with technical teams and stakeholders to understand business challenges and translate them into AI-driven solutions.
- Support continuous improvement of AI platforms, development processes, and operational capabilities.
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