AI Engineer

<h2 data-section-id="1yz0xeg" data-start="85" data-end="133">AI Engineer – Generative AI & Agentic Systems</h2> <p data-start="135" data-end="282">We’re looking for an exceptional <strong data-start="168" data-end="183">AI Engineer</strong> to join our growing Data & AI practice and help build the next generation of AI-powered solutions.</p> <p data-start="284" data-end="560">This role is ideal for someone who loves working at the edge of what’s possible with <strong data-start="369" data-end="450">LLMs, RAG, agents, semantic search, multimodal AI, and intelligent automation</strong> — and who wants to turn cutting-edge ideas into real, production-ready systems for clients across industries.</p> <p data-start="562" data-end="638">This position is open to candidates based in <strong data-start="607" data-end="637">LATAM or the United States</strong>.</p> <h3 data-section-id="1j5ac4d" data-start="640" data-end="658"> </h3> <h3 data-section-id="1j5ac4d" data-start="640" data-end="658">What You’ll Do</h3> <ul> <li data-start="660" data-end="802">Design, build, and deploy advanced AI solutions using <strong data-start="714" data-end="801">LLMs, RAG, embeddings, vector databases, semantic search, and agentic architectures</strong>.</li> <li data-start="660" data-end="802">Develop intelligent systems that can process documents, retrieve knowledge, generate content, automate workflows, and transform unstructured data into actionable insights.</li> <li data-start="660" data-end="802">Work with modern GenAI and AI engineering tools such as <strong data-start="1033" data-end="1139">LangChain, LangGraph, Hugging Face, PyTorch, MCP, multi-agent frameworks, and cloud-native AI services</strong>.</li> <li data-start="660" data-end="802">Build scalable, reliable AI applications across <strong data-start="1190" data-end="1249">Azure, AWS, Databricks, or similar cloud/data platforms</strong>.</li> <li data-start="660" data-end="802">Experiment with and evaluate foundation models, prompts, retrieval strategies, orchestration patterns, and performance optimization techniques.</li> <li data-start="660" data-end="802">Collaborate closely with engineering, product, data, and business teams to define the right technical approach and deliver high-impact AI solutions.</li> <li data-start="660" data-end="802">Stay plugged into the fast-moving GenAI ecosystem and bring new ideas, tools, and prototypes into real-world applications.</li> </ul> <h3 data-section-id="1bvj2sf" data-start="1671" data-end="1689"> </h3> <h3 data-section-id="1bvj2sf" data-start="1671" data-end="1689">What You Bring</h3> <ul> <li data-start="1691" data-end="1824">Strong experience in <strong data-start="1712" data-end="1769">AI, machine learning, data science, or AI engineering</strong>, with hands-on exposure to production-scale solutions.</li> <li data-start="1691" data-end="1824">Deep interest and practical experience with <strong data-start="1870" data-end="1887">Generative AI</strong>, including LLMs, RAG, vector search, embeddings, agents, and AI workflow orchestration.</li> <li data-start="1691" data-end="1824">Strong Python skills and experience with modern ML/AI frameworks and libraries.</li> <li data-start="1691" data-end="1824">Experience building on cloud or data platforms such as <strong data-start="2113" data-end="2156">Azure, AWS, GCP, Databricks, or similar</strong>.</li> <li data-start="1691" data-end="1824">A solid foundation in data science, experimentation, statistical thinking, or applied machine learning.</li> <li data-start="1691" data-end="1824">Ability to work with structured and unstructured data, including text, documents, images, emails, spreadsheets, or other complex data formats.</li> <li data-start="1691" data-end="1824">A builder mindset: curious, hands-on, adaptable, and excited to work with emerging technologies.</li> <li data-start="1691" data-end="1824">Strong communication skills and the ability to partner with technical and non-technical stakeholders.</li> </ul> <h3 data-section-id="gxq2rq" data-start="2609" data-end="2625"> </h3> <h3 data-section-id="gxq2rq" data-start="2609" data-end="2625">Nice to Have</h3> <ul> <li data-start="2627" data-end="2729">Advanced degree in Computer Science, Data Science, AI, Machine Learning, or a related technical field.</li> <li data-start="2627" data-end="2729">Experience with <strong data-start="2747" data-end="2862">MCP, multi-agent systems, fine-tuning, LLM evaluation frameworks, multimodal AI, or production ML observability</strong>.</li> <li data-start="2627" data-end="2729">Prior consulting, client-facing, or cross-functional delivery experience.</li> </ul> <p> </p> <p><strong><span data-contrast="none">About Nimble Gravity </span></strong><span data-ccp-props="{" 134233117":false,"134233118":false,"335557856":16777215,"335559738":240,"335559739":240}"=""> </span></p> <p><span data-contrast="none">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.</span><span data-ccp-props="{" 134233117":false,"134233118":false,"335557856":16777215,"335559738":240,"335559739":240}"=""> </span></p> <p><em><span data-contrast="none">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.</span></em><span data-ccp-props="{" 134233117":false,"134233118":false,"335557856":16777215,"335559738":240,"335559739":240}"=""> </span></p>

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...