Senior AI & Data Intelligence Engineer

Seekeasy

$150K — $200K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Proficient with Python, SQL, AWS, Git, and relational databases.
  • Experienced with AI platforms including large language models and prompt engineering.
  • Background in building scalable data pipelines and analytical models.
  • Familiar with search technologies like Elasticsearch or OpenSearch.
  • Passionate about utilizing AI as a trusted analytical partner.
  • Strong analytical skills with a knack for turning data into actionable insights.
  • 6+ years in relevant technical fields, particularly in Analytics Engineering or Data Science.
  • Located in the San Francisco Bay Area, with a willingness to commute.

Responsibilities

  • Design and implement AI workflows for actionable business intelligence.
  • Develop scalable data pipelines and reporting systems.
  • Analyze data to uncover consumer trends and market opportunities.
  • Refine AI workflows and enhance analytical speed and quality.
  • Ensure data quality and troubleshoot output issues.
  • Establish best practices for AI-assisted analysis and decision-making.
  • Mentor team members and nurture a culture of collaboration.

Benefits

  • Generous equity grant for ownership in company growth.
  • Comprehensive health, dental, and vision insurance for employees and dependents.
  • Flexible vacation policy allowing for personal time management.
Full Job Description
What You'll Do

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.

Who You Are

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.
Compensation and Benefits
  • $150,000 - 200,000/year
  • Generous equity grant - be a true owner in the company you're building.
  • Comprehensive health, dental, and vision insurance - we cover 100% for employees and 80% for dependents.
  • Flexible vacation policy - we trust you to manage your time and bring your best.

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