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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI & Data Intelligence Engineer - **Company:** SEEKEASY, INC. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $150,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Program Optimization, Information Engineering, Data Infrastructure, Relational Databases, Decision Support Systems, Elasticsearch, Python (Programming Language), Machine Learning, Search Technologies, SQL Databases, Unstructured Data, Large Language Models, Prompt Engineering, Generative AI, Indexer, Git, AI Platforms, Build Tools, Data Pipelines, Automation Anywhere - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/senior-ai-data-intelligence-engineer-seekeasy-8752717 ## About the Role You are an AI multiplier: You don't simply use AI. You instinctively think about how to teach AI to perform the work you do so you can continuously increase your impact. You automate first and repeat yourself as little as possible. You are a builder: You love to build, ship, get feedback, and iterate because that's the only way to know what's working and what isn't. You are an owner: You take pride in your work and can operate autonomously to drive your work forward. Seekeasy is not the right fit for people who default to waiting for instructions. You are a team player: You see yourself as part of the team, not just as someone working on the same project. Whatever it takes for the team to succeed, you want to be a part of it. You are insight obsessed: You love finding patterns hidden inside messy data and turning them into decisions that create meaningful business impact. Your Qualifications * Proficient with Python, SQL, AWS services, Git, relational databases, and modern data platforms. * Proficient with AI platforms, APIs, and frameworks including large language models, prompt engineering, retrieval augmented generation (RAG), vector search, AI agents, Model Context Protocol (MCP), LangGraph, LangChain, or similar technologies. * Experience building scalable data pipelines, analytical models, dashboards, and reporting systems using modern data engineering and analytics best practices. * Experience working with search technologies such as Elasticsearch, OpenSearch, or similar search and indexing platforms. * Passionate about AI and its potential to transform how businesses operate. You don't just use AI to be more productive. You think about how to train AI to become a trusted analytical teammate that scales your expertise. * Strong analytical and statistical problem-solving skills with the ability to translate data into actionable business recommendations. * A problem solver who thrives in the ambiguity and fast pace of startup environments. * A seasoned AI, data, or analytics professional with 6+ years of experience in Analytics Engineering, Data Engineering, Data Science, Machine Learning, Business Intelligence, or a related technical discipline, with a track record of building scalable analytical systems. * Live in the San Francisco Bay Area and can commute to our office in San Francisco. * Previous startup experience. ## Description Build our AI intelligence platform: Design, implement, and continuously improve AI-powered workflows that transform structured and unstructured data into actionable business intelligence. Build systems that enable AI to perform increasingly sophisticated analytical work while maintaining quality and reliability. Build our analytics infrastructure: Develop scalable data pipelines, dashboards, reporting systems, and analytical models that power product decisions, customer insights, restaurant intelligence, and strategic partnerships. Turn data into competitive advantage: Analyze millions of AI-generated restaurant attributes and social media signals to identify emerging consumer trends, marketplace opportunities, product insights, and business recommendations that influence company strategy. Shape how we use AI: Develop and refine AI workflows, prompt engineering strategies, evaluation frameworks, and automation systems that continuously increase the speed, quality, and scale of analytical work across the company. Ensure our intelligence platform is working: Continuously improve the quality, accuracy, and reliability of our data and AI outputs. Monitor data quality, identify anomalies, troubleshoot issues, and optimize systems for scalability and performance. Lead and mentor: Help establish best practices for AI-assisted analysis, automation, and data-driven decision making. Set the standards for the team of people and AIs we will eventually have. ## Related Videos - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Are We All Prompt Engineers? How AI Changed What It Means to Build Software](https://www.wearedevelopers.com/videos/1980-are-we-all-prompt-engineers-how-ai-changed-what-it-means-to-build-software) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)