Senior Software Engineer (United States)
Required skills
- full-stack
- AI-enhanced features
- intuitive interfaces
- enterprise-grade stability
- technical interviewing
- talent assessment
- educational technology
Nice to have
- LLM APIs
Role summary
Karat is seeking a Senior Software Engineer to build and enhance their AI-powered interviewing products. This role involves designing and developing scalable full-stack systems, implementing AI features, and creating intuitive interfaces and APIs. The engineer will contribute to architecture decisions, ensure platform reliability and security, and provide technical leadership. The position requires 7+ years of experience in web application development, proficiency in languages like Ruby, Python, or TypeScript/JavaScript, and experience with system architecture, databases, cloud infrastructure, and CI/CD. Familiarity with AI/ML technologies and LLM APIs is preferred. The role is fully remote within specific US states and does not offer immigration sponsorship.
We're Karat, the talent elevation partner for the Human + AI Era.
Karat helps technical leaders transform their workforce for the Human+AI era. Trusted by some of the world's largest payment companies, tier 1 banks, and global tech enterprises, Karat evaluates and benchmarks engineering talent rigorously, consistently, and at scale. Our system turns those evaluations into insights that help leaders build a more capable and competitive workforce. Karat interviews combine best-in-class methodologies with live, AI-native scenarios, delivered by experienced Interview Engineers. With intelligence from more than 600,000 technical evaluations, Karat gives leaders a clear view of workforce capability, a competitive benchmark, and confidence that their standards are being met.
Come join our Engineering team
Our Software Engineering team is dedicated to building the world’s most predictive, inclusive, and fair interviewing products for our clients and technical candidates alike.
What you will do
As a Senior Software Engineer at Karat, you’ll build full-stack product features that directly improve how engineers are interviewed and how engineering organizations operate. You'll build robust, scalable full-stack solutions while helping to implement AI-enhanced features that transform technical talent assessment. You'll collaborate closely with product and engineering leadership to execute on our vision of more predictive, inclusive, and fair technical interviewing.
The experience you will bring
This position is only available to candidates residing in the following U.S. states: FL, IL, MA, MO, OR, TX, and WA. While our team operates 100% remotely, we are currently limiting hiring to these specific locations. Applications from other states will not be considered at this time.
Immigration sponsorship is not available.
Compensation Varies by Geographic Location
At Karat, salary ranges for each U.S.-based position are determined by the employee's work location. We structure our compensation into geographic tiers based on market data and regional economic factors.
Please refer to our geographic classification document to view which tier applies to your location. If your area isn't included in our classification system, please connect with your Recruiter for specific details. These geographic classifications may be adjusted periodically.
Base Salary (GeoLo 2)$169,755.30—$191,655 USDBase Salary (GeoLo 3)$150,893.60—$170,360 USDBase Salary (GeoLo 4)$132,031.90—$149,065 USDAdditional Information
By applying for a position, you consent to the processing of your personal data in accordance with Karat’s Employee and Contractor Privacy Notice found here.
Statement of Inclusivity
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.
We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.
If you have a disability or special need that requires accommodation, please let us know at accommodation@karat.com.
Sample Karat interview questions
- 1
Design a system for managing data versioning in a distributed environment.
system designmedium - 2
Buildings with an Ocean View Find all buildings that have an ocean view. Input: heights = [1,2,3,4] Output: [3] Explanation: Since the ocean is to the right, only the rightmost tallest building (index 3) is not blocked by any others.
codingmedium - 3
Search for a Word in a 2D Board Search for a word in a 2D board of characters. Input: board = [["C","A","A"],["A","A","A"],["B","C","D"]], word = "AAB" Output: TRUE Explanation: DFS traverses adjacent matching letters perfectly, finding "AAB" without improperly revisiting any cells.
codingmedium - 4
Merge K Sorted Linked Lists Merge K sorted linked lists. Input: lists = [[2,2,3],[1,5]] Output: [1,2,2,3,5] Explanation: Extracts the smallest current node iteratively using a priority queue to build a single merged and sorted linked list.
codingmedium - 5
Valid Word Abbreviation Determine if a string matches a valid word abbreviation. Input: word = "apple", abbr = "a2e" Output: FALSE Explanation: The abbreviation claims exactly 2 characters are skipped between 'a' and 'e', but "ppl" is actually 3 characters long.
codingmedium
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