AI Engineer
Sr AI Engineer – Generative AI & Agentic Systems
We’re looking for an exceptional Sr AI Engineer to join our growing Data & AI practice and help build the next generation of AI-powered solutions.
This role is ideal for someone who loves working at the edge of what’s possible with LLMs, RAG, agents, semantic search, multimodal AI, and intelligent automation — and who wants to turn cutting-edge ideas into real, production-ready systems for clients across industries.
This position is open to candidates based in LATAM or the United States.
What You’ll Do
- 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.
What You Bring
- 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.
Nice to Have
- 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.
About Nimble Gravity
Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the...