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AI-Ready Data Engineer: Build Scalable Data & LLM AppsinKind • Austin, Texas, United States
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AI-Ready Data Engineer: Build Scalable Data & LLM Apps

inKind
  • US
    Austin, Texas, United States
  • US
    Austin, Texas, United States
Postuler Maintenant

À propos

Data Engineering is a key role in the development team and is responsible for building and maintaining the AI-ready data foundation that powers inKind’s intelligent products, machine learning models, and large language model (LLM) applications. The position requires working across departments to build, operate, and optimize highly available data pipelines that feed analytics, ML training and inference, and retrieval-augmented generation (RAG) systems.
Responsibilities
Responsible for the design, deployment, and maintenance of the business’s data and AI platforms
Own architectural processes and decisions for various data models within the organization, including schemas, vector stores, and knowledge bases that support AI and LLM use cases
Design and operate feature pipelines, embedding pipelines, and evaluation datasets that support machine learning model training, fine‑tuning, and continuous evaluation
Work cross-functionally with various departments—including leadership, the development team, the finance team, and the data science team—to convert data into understandable information and AI‑ready inputs for other professionals
Ensure implemented data and AI systems have relevant security, privacy, and data‑governance controls—particularly around data flowing into and out of third‑party LLM providers
Minimum Qualifications
Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field. An equivalent of this educational requirement in working experience is also acceptable
5+ years professional database development experience, preferably as a Data Engineer in a fast‑paced environment and complex business setting
Expert level knowledge of SQL with focus on writing and optimizing queries
Demonstrated experience building and maintaining reliable and scalable ETL/ELT using Snowflake, dbt, and AWS architecture
Proficiency in Python and modern AI/ML tooling and experience integrating with LLM APIs (Anthropic, OpenAI, etc.)
Expert problem solving ability and maker’s mentality; vast experience designing & architecting new features and solutions from scratch—especially those that blend traditional data systems with AI‑powered components
Eagerness to discover innovative ways to work faster and more efficiently, including leveraging AI coding assistants and agents, while balancing competing concerns (tech debt, cost, security, complexity, etc.)
Proactive communication, both written and spoken, and excellent ability to work well with others, in‑person and remotely
Courage when it comes to raising concerns and asking questions
Ability to stay up‑to‑date with new frameworks and tools—especially in the rapidly evolving AI/ML space—to speed up development, while keeping a sharp eye out for potential vulnerabilities and edge cases (including prompt injection and data leakage to third‑party AI services)
Benefits & Perks at inKind At inKind, we believe supporting our employees goes beyond compensation. We’re committed to creating an environment where our team can thrive both professionally and personally.
100% employer‑paid medical coverage through Blue Cross Blue Shield for employees on our base healthcare plan
Company‑paid Short‑Term Disability coverage
Time Away & Flexibility
Unlimited Paid Time Off
9 paid company holidays annually
Generous parental leave and child care benefits
Growth & Development
Career development and training opportunities designed to support long‑term professional growth
Daily catered lunches and office snacks
Credits to dine within the inKind restaurant network
Collaborative, in‑person culture based in Austin, Texas
Dog‑friendly office environment with views of downtown Austin
$135,000 - $155,000, DOE
Who we are:
inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards. Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat. Rooted in hospitality and built on a win‑win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community.
inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions. By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third‑party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our Privacy Policy. For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.
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  • Austin, Texas, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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