AI Engineer

🕒 May 26

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Nimble Gravity

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

🛍️ eCommerce

Artificial Intelligence • SaaS • eCommerce

Nimble Gravity is a company specializing in AI acceleration and automation services, leveraging cutting-edge data science, generative AI, and digital technologies to transform business challenges into growth opportunities. They provide a comprehensive suite of services, including predictive and prescriptive analytics, digital transformation strategies, software engineering, e-commerce solutions, and CRM optimization, particularly using Salesforce. Nimble Gravity is known for creating AI-powered solutions such as automated generative AI agents and data-driven e-commerce strategies, helping businesses accelerate their digital transformation and improve decision making.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Equal Opportunity Employer