Note: The job is a remote job and is open to candidates in USA. Nimble Gravity is a team of outdoor enthusiasts and experienced growth hackers, dedicated to solving hard problems with data. They are seeking an exceptional AI Engineer to join their Data & AI practice, focusing on building advanced AI solutions and collaborating with various teams to deliver impactful results.
Responsibilities
- Design, build, and deploy advanced AI solutions using LLMs, RAG, embeddings, vector databases, semantic search, and agentic architectures
- Develop intelligent systems that can process documents, retrieve knowledge, generate content, automate workflows, and transform unstructured data into actionable insights
- Work with modern GenAI and AI engineering tools such as LangChain, LangGraph, Hugging Face, PyTorch, MCP, multi-agent frameworks, and cloud-native AI services
- Build scalable, reliable AI applications across Azure, AWS, Databricks, or similar cloud/data platforms
- Experiment with and evaluate foundation models, prompts, retrieval strategies, orchestration patterns, and performance optimization techniques
- Collaborate closely with engineering, product, data, and business teams to define the right technical approach and deliver high-impact AI solutions
- Stay plugged into the fast-moving GenAI ecosystem and bring new ideas, tools, and prototypes into real-world applications
Skills
- Strong experience in AI, machine learning, data science, or AI engineering, with hands-on exposure to production-scale solutions
- Deep interest and practical experience with Generative AI, including LLMs, RAG, vector search, embeddings, agents, and AI 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
- A 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 data formats
- A builder mindset: curious, hands-on, adaptable, and excited to work with emerging technologies
- Strong communication skills and the ability to partner with technical and non-technical stakeholders
- Advanced degree in Computer Science, Data Science, AI, Machine Learning, or a related technical field
- 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
Company Overview