TIVIT LATAM
AI Engineer
Skills
12 days ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
15 October 2026
What they need
At TIVIT Almaviva Group, we are driving the future of technology by integrating advanced artificial intelligence into core business operations. We are currently looking for a professional specialized in AI Automation to design, develop, and deploy innovative solutions leveraging Large Language Models (LLMs) and complex workflows.
Education
- University degree in Systems Engineering, Computer Science, Mathematics, or closely related technical fields.
Minimum Requirements
- At least 2 years of demonstrable experience in software development, with a strong focus on deploying Artificial Intelligence or Machine Learning projects in production environments.
- Proficiency in developing and maintaining production-grade code in Python, applying strict best practices for typing, packaging, and asynchronous programming.
- Solid application of software engineering principles, including version control (Git), code reviews, and automated testing.
- Demonstrated capability in prompt engineering and structured output generation to interact efficiently with LLM APIs (such as Azure OpenAI and Anthropic).
- Strong analytical and critical thinking competencies, paired with effective communication and a focus on applied innovation.
- Speaking and Writing in English: BETWEEN B2 - C2 level IS A MUST
Desirable Requirements
- Solid theoretical and practical understanding of LLM fundamentals and API integrations.
- Experience designing and building Retrieval-Augmented Generation (RAG) architectures, effectively managing chunking, embeddings, vector databases, and reranking processes.
- Background in developing multi-step workflows and autonomous AI agents (tool calling, planning, memory) utilizing frameworks such as LangChain or LangGraph.
- Knowledge of LLMOps practices, including model evaluation, continuous monitoring, and guardrail implementation.
- Familiarity with containerization (Docker) and workflow automation engines (such as n8n or Camunda).
- A strong orientation toward continuous learning and adaptability in the fast-evolving artificial intelligence landscape.
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