AI Engineer

Nimble Gravity, LLC; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Nimble Gravity is seeking a Sr AI Engineer to architect and deploy cutting-edge generative AI solutions. You will work on LLMs, RAG, embeddings, and agentic systems, delivering scalable AI-powered apps for diverse clients.

Ideal candidates have hands-on experience with GenAI, Python, and cloud platforms, plus strong collaboration with cross-functional teams to turn ideas into production systems.

Qualifications

• Hands-on experience with production-scale AI/ML systems.
• Strong background in Generative AI, LLMs, embeddings, and vector search.
• Experience building on cloud/data platforms and modern ML libraries.

Responsibilities

• Design, build, and deploy 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 insights.
• Work with GenAI tools and cloud services to deploy scalable AI applications on Azure/AWS/GCP and Databricks.
• Experiment with foundation models, prompts, retrieval strategies, orchestration patterns, and performance optimization.
• Collaborate with engineering, product, data, and business teams to define technical approaches and deliver high-impact AI solutions.
• Stay updated on GenAI trends and bring new ideas and prototypes into real-world apps.

Skills

Python

Generative AI

LLMs / RAG

Cloud platforms

Communication

Education

Advanced degree in CS/DS/AI/ML

Tools

LangChain

LangGraph

Hugging Face

PyTorch

MCP

Multi-agent frameworks

Job description

Sr AI Engineer – Generative AI & Agentic Systems

We’re looking for an exceptional SrAI 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 right data can transform and propel growth for any organization.

Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.