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AI Engineer

1 month, 2 weeks ago
Latin America, United States
Mid Level
AI Engineer
Software Development
AWS Azure Databricks GCP Generative AI Hugging Face LLM Machine Learning Python PyTorch
Apply Now
Nimble Gravity

Nimble Gravity

Nimble Gravity transforms challenges into growth opportunities for businesses using Data Science, Generative AI, and Digital technologies, propelling organizations forward with innovative solutions and impactful insights.

IT Services
51-250
Founded 2019
View All Jobs 12

Description

  • Design, build, and deploy AI solutions using LLMs, RAG, embeddings, vector databases, semantic search, and agentic architectures.
  • Develop intelligent systems that process documents, retrieve knowledge, generate content, automate workflows, and turn unstructured data into actionable insights.
  • Work with GenAI and AI engineering tools including LangChain, LangGraph, Hugging Face, PyTorch, MCP, multi-agent frameworks, and cloud-native AI services.
  • Build scalable and reliable AI applications on Azure, AWS, Databricks, or similar cloud and data platforms.
  • Experiment with and evaluate foundation models, prompts, retrieval strategies, orchestration patterns, and performance optimization techniques.
  • Collaborate with engineering, product, data, and business teams to define technical approaches and deliver AI solutions.
  • Stay current with the GenAI ecosystem and bring new ideas, tools, and prototypes into real-world applications.

Requirements

  • Strong experience in AI, machine learning, data science, or AI engineering with hands-on exposure to production-scale solutions.
  • Practical experience with generative AI, including LLMs, RAG, vector search, embeddings, agents, and workflow orchestration.
  • Strong Python skills and experience with modern ML/AI frameworks and libraries.
  • Experience building on cloud or data platforms such as Azure, AWS, GCP, Databricks, or similar.
  • Solid foundation in data science, experimentation, statistical thinking, or applied machine learning.
  • Ability to work with structured and unstructured data, including text, documents, images, emails, spreadsheets, or other complex formats.
  • Builder mindset: curious, hands-on, adaptable, and excited to work with emerging technologies.
  • Strong communication skills and ability to partner with technical and non-technical stakeholders.
  • Advanced degree in Computer Science, Data Science, AI, Machine Learning, or a related technical field (nice to have).
  • Experience with MCP, multi-agent systems, fine-tuning, LLM evaluation frameworks, multimodal AI, or production ML observability (nice to have).
  • Prior consulting, client-facing, or cross-functional delivery experience (nice to have).
  • Candidates must be based in LATAM or the United States.

Interested in this position?

Apply directly on the company website

Apply Now

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