Sr AI Engineer
Nimble Gravity8 days ago
Remote, AmericasSenior
Responsibilities
- Design, build, and deploy generative AI solutions using LLMs, RAG, embeddings, vector databases, semantic search, and agentic architectures.
- Develop intelligent systems for document processing, knowledge retrieval, content generation, workflow automation, and unstructured-data analysis.
- Use 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 client solutions.
- Track developments in the generative AI ecosystem and bring new tools and prototypes into production applications.
Requirements
- Strong experience in AI, machine learning, data science, or AI engineering, including hands-on exposure to production-scale solutions.
- Practical experience with generative AI, LLMs, RAG, vector search, embeddings, agents, and AI workflow orchestration.
- Strong Python skills and experience with modern machine learning and AI frameworks and libraries.
- Experience building on Azure, AWS, GCP, Databricks, or similar cloud and data platforms.
- Foundation in data science, experimentation, statistical thinking, or applied machine learning.
- Ability to work with structured and unstructured data such as text, documents, images, emails, and spreadsheets.
- Curiosity, adaptability, hands-on building ability, and enthusiasm for emerging technologies.
- Strong communication skills and ability to work with technical and non-technical stakeholders.
- Preferred experience with MCP, multi-agent systems, fine-tuning, LLM evaluation frameworks, multimodal AI, or production ML observability.
- Prior consulting, client-facing, or cross-functional delivery experience is preferred.
- An advanced degree in Computer Science, Data Science, AI, Machine Learning, or a related technical field is preferred.
Benefits
- The position is open to candidates based in LATAM or the United States.
- The employer states that it is an equal opportunity employer.
Tech Stack
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