AI Engineer
Job in
Boise, Ada County, Idaho, 83701, USA
Listing for:
TIVIT LATAM
Full Time
position
Listed on 2026-11-07
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
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.
- 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
- 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 Lang Chain or Lang Graph.
- 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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