Job Overview
Location
Austin, in-person
Job Type
Full-time
Category
Software Engineering
Date Posted
May 23, 2026
Full Job Description
đź“‹ Description
- • Design, deploy, and maintain the company’s data and AI platforms that power intelligent products, machine learning models, and large language model (LLM) applications.
- • Own architectural decisions for data models including schemas, vector stores, and knowledge bases that support AI and LLM use cases.
- • Design and operate feature pipelines, embedding pipelines, and evaluation datasets to support machine learning model training, fine-tuning, and continuous evaluation.
- • Collaborate cross-functionally with leadership, development, finance, and data science teams to transform raw data into AI-ready inputs and actionable insights.
- • Ensure all implemented data and AI systems comply with security, privacy, and data-governance standards, particularly for data flowing to and from third-party LLM providers like Anthropic and OpenAI.
- • Build and maintain scalable ETL/ELT pipelines using Snowflake, dbt, and AWS architecture to support high-volume data processing needs.
- • Write and optimize complex SQL queries to extract, transform, and analyze data for AI and analytics workflows.
- • Integrate Python-based tools and modern AI/ML frameworks with LLM APIs to enable retrieval-augmented generation (RAG) and other generative AI applications.
- • Architect and implement new solutions from scratch that blend traditional data systems with AI-powered components, prioritizing reliability, scalability, and security.
- • Proactively identify and mitigate risks such as prompt injection, data leakage, and model drift in AI systems.
- • Leverage AI coding assistants and automation tools to accelerate development while managing trade-offs between tech debt, cost, and complexity.
- • Maintain up-to-date knowledge of emerging AI/ML frameworks, tools, and best practices to enhance system performance and innovation.
- • Communicate effectively in writing and speech, both in-person and remotely, to align technical work with business objectives across departments.
- • Demonstrate courage in raising concerns, asking clarifying questions, and advocating for secure and sustainable engineering practices.
- • Work in-person in Austin, Texas, within a collaborative, dog-friendly office environment with views of downtown Austin.
- • Participate in daily catered lunches and utilize credits to dine within the inKind restaurant network.
🎯 Requirements
- • Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or a related field (or equivalent professional experience)
- • 5+ years of professional experience as a Data Engineer in a fast-paced, complex business environment
- • Expert-level proficiency in SQL with a focus on query optimization
- • Demonstrated experience building and maintaining scalable ETL/ELT pipelines using Snowflake, dbt, and AWS
- • Proficiency in Python and hands-on experience integrating with LLM APIs (e.g., Anthropic, OpenAI)
- • Strong problem-solving skills and a maker’s mentality with experience designing AI-integrated data systems from scratch
🏖️ Benefits
- • 100% employer-paid medical coverage through Blue Cross Blue Shield
- • 100% employer-paid Dental PPO coverage
- • Vision coverage available
- • Company-paid Short-Term Disability coverage
- • Unlimited Paid Time Off
- • 9 paid company holidays annually
- • Generous parental leave and child care benefits
- • Career development and training opportunities
- • Daily catered lunches and office snacks
- • Credits to dine within the inKind restaurant network
- • Dog-friendly office environment with downtown Austin views
Skills & Technologies
Python
AWS
Remote
$135k-155k
Degree Required
About InKind Funding Inc.
InKind Funding Inc. operates a hospitality-focused fintech platform that provides non-dilutive capital to restaurants and food-service operators through prepaid dining credits. Its model allows venues to receive upfront cash in exchange for credits sold to diners via the company's marketplace and mobile app, creating a loyalty ecosystem while avoiding traditional equity or debt. The company also offers reservation, marketing, and analytics tools to help operators manage cash flow, increase customer frequency, and reduce reliance on third-party delivery commissions.
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