Senior AI & Data Intelligence Engineer

Seekeasy

Senior AI Engineer developing AI-driven tools for restaurants, leveraging social media signals for actionable insights. Building workflows that enhance business intelligence and operational efficiency.

Posted 7/14/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $150,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI-powered workflows, scalable data pipelines, and analytical models, with a strong focus on data quality and automation. Proficient in leveraging AI platforms and modern data engineering practices to drive actionable business intelligence.

Highest-signal resume keywords

Python ProficiencySQL ProficiencyAWS Services ExperienceAI Platforms and Frameworks ExpertiseData Engineering Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentAnalytical Model BuildingDashboard CreationStatistical Problem-SolvingPrompt EngineeringAutomation Systems DevelopmentData Quality ImprovementMachine LearningBusiness IntelligenceAnalytics Engineering

Soft Skills

Analytical ThinkingProblem SolvingAdaptability

Tools & Technologies

GitRelational DatabasesElasticsearchOpenSearchLarge Language ModelsRetrieval Augmented GenerationVector SearchAI AgentsModel Context ProtocolLangChain

Industry Keywords

AI-Powered WorkflowsData-Driven Decision MakingConsumer Trends AnalysisStartup ExperienceSan Francisco Bay Area

Tech Stack

Tools & technologies

AWSElasticSearchPythonSQL

About the role

Key responsibilities & impact

Design, implement, and continuously improve AI-powered workflows that transform structured and unstructured data into actionable business intelligence.
Develop scalable data pipelines, dashboards, reporting systems, and analytical models.
Analyze millions of AI-generated restaurant attributes and social media signals to identify emerging consumer trends.
Develop and refine AI workflows, prompt engineering strategies, and automation systems.
Continuously improve the quality, accuracy, and reliability of our data and AI outputs.
Help establish best practices for AI-assisted analysis, automation, and data-driven decision making.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.