KASHII UPDATEZ Everyday Student Requirements & Python Coding Tutorials by Python Kashi
REQUIREMENT_ID_96 • 3-DAY_ACTIVE_POLICY

Software Engineer I

Company
Company AiPrise
Type
Opportunity Type Internship
Salary
Stipend / Salary ₹1.5M - ₹3M per annum
Location
Location Bengaluru, Karnataka
Posted Date
Posted Date Yesterday
Python Go Node.js REST API development Microservices PostgreSQL Docker Kubernetes Git CI/CD AWS Kafka Data modeling Debugging Problem solving Communication
📖
Aptitude Practice Questions Open Resource ↗
Curated quantitative and logical reasoning problems to sharpen problem‑solving speed for screening tests.
📖
Company Interview Preparation Guide Open Resource ↗
Compilation of typical interview questions and experiences shared by candidates for tech roles at startups.
📖
Comprehensive Interview Prep Resource Open Resource ↗
Structured notes on data structures, algorithms and system design topics frequently asked in engineering interviews.
📖
Algorithm & Data Structure Problem Set Open Resource ↗
Extensive collection of coding challenges to practice implementation and optimization skills required for technical rounds.

B.Tech/B.E. or B.Sc. in Computer Science, Information Technology, Electronics or related engineering discipline; minimum 60% aggregate (or CGPA 6.0/10); graduating batch 2023‑2025; no active backlogs; US citizenship or valid US work visa (as per role requirement).

1
Round 1: Exploratory Discussion (Remote)
2
Round 2: Technical & Cultural Fit interview with Head of Engineering (Remote)
3
Round 3: Compensation Discussion (In‑office)
4
Round 4: HR/Final Offer
AiPrise is a YC‑backed global compliance orchestration platform that helps fintechs, marketplaces and payment companies verify and onboard customers across the world. By connecting to more than 80 identity‑verification and risk‑assessment vendors, AiPrise builds a single, holistic view of a user’s compliance risk. The company is now adding AI‑driven compliance agents that automate KYB, AML, sanctions screening and risk scoring, allowing customers to onboard faster, cut manual reviews and stop financial crime before it happens. The team works out of San Jose and Bangalore, and its product is already in production for high‑profile clients such as Meta and leading fintechs. The role of Software Engineer I is a hands‑on, end‑to‑end engineering position. You will be part of a small, fast‑moving core team that designs, builds and ships features for the compliance orchestration engine and the AI agent layer. The job is a classic "build it, ship it, own it" experience – you will take a feature from product requirement, through design, implementation, deployment, monitoring and iteration. You will work directly with the founders, product managers and compliance experts, turning messy real‑world regulatory problems into clean, reliable software that runs at scale. Key responsibilities include: 1. Design, develop and ship production‑grade REST APIs and micro‑services that coordinate checks across 80+ third‑party compliance vendors. 2. Build data pipelines for ingesting, transforming and routing large volumes of compliance data in real time. 3. Implement case‑management workflows and business logic for KYB/AML processes. 4. Integrate with external identity and risk‑assessment APIs, handling complex response mapping and error handling. 5. Write clean, well‑tested code with comprehensive documentation and participate in code reviews. 6. Develop monitoring, alerting and observability for all services you own. 7. Debug production incidents with urgency and own the end‑to‑end resolution. 8. Contribute to architecture discussions, technical decision‑making and engineering best practices. 9. Collaborate cross‑functionally with product, compliance and customer‑success teams. 10. Help shape the engineering culture as the team scales. The tech stack revolves around modern backend languages (Python, Go, Node.js), PostgreSQL for relational data, Docker and Kubernetes for containerisation, AWS services (S3, SQS, Lambda) and event‑driven tools such as Kafka. Familiarity with Terraform, Terraform, CI/CD pipelines and Git is expected. Front‑end work may involve React and TypeScript for internal tools, while exposure to ML/AI pipelines is a plus. Growth path: Starting as an Engineer I, you can progress to Engineer II, Senior Engineer and eventually lead a product or platform team. The fast‑paced environment offers early ownership, mentorship from seasoned founders and the chance to see your code in production within days. Why join AiPrise? You will be fighting financial crime at scale, work on cutting‑edge AI compliance solutions, enjoy rapid career growth, receive competitive compensation with equity, and be part of a mission‑driven, diverse team that values autonomy and impact.

AiPrise — Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC 📖
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource ↗
COMPANY GUIDE 🎯
AiPrise Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for AiPrise and off-campus tech roles.

Open Resource ↗
MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource ↗
CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource ↗
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Python, Go, Node.js, REST API development, Microservices, PostgreSQL, Docker, Kubernetes, Git, CI/CD, AWS, Kafka, Data modeling, Debugging, Problem solving, Communication) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
AiPrise Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer ▼
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer ▼
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer ▼
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer ▼
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer ▼
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join AiPrise as a Software Engineer I?
Preparation Tip: Highlight AiPrise's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

More Fresh Requirements in Software & Tech

View Category Feed ↗
AiPrise
Software Engineer I
Apply Apply Now ↗
Chat Chat with Kashii