Nimble Gravity, a Denver-based data and AI consultancy, is looking for a remote AI Engineer to design and deploy advanced AI solutions using LLMs, RAG, embeddings, vector databases, and agentic architectures. The role involves building scalable AI applications, experimenting with foundation models and retrieval strategies, and collaborating cross-functionally. This is a full-time remote role open to candidates in the USA.
Responsibilities
Design, build, and deploy advanced AI solutions using LLMs, RAG, embeddings, vector databases, semantic search, and agentic architectures.
Develop intelligent systems to process documents, retrieve knowledge, generate content, automate workflows, and transform unstructured data into actionable insights.
Work with modern GenAI tools such as LangChain, LangGraph, Hugging Face, PyTorch, MCP, multi-agent frameworks, and cloud-native AI services.
Build scalable, reliable AI applications on Azure, AWS, Databricks, or similar cloud/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 high-impact AI solutions.
Requirements
Strong experience in AI, machine learning, data science, or AI engineering with production-scale solutions.
Generative AI is a broad technological field rather than a single specific company. Many organizations such as OpenAI, Google DeepMind, Stability AI, and Runway are prominent entities operating within the generative artificial intelligence sector.