[24]7.ai is a global leader in conversational AI and customer experience solutions, simplifying the way consumers connect with companies. Our AI-driven technology understands consumer intent, enabling businesses to deliver personalized and predictive customer interactions across all channels, enhanced by big data and predictive analytics. We service the world’s largest brands through billions of interactions each year, resulting in significant improvements in digital adoption, customer satisfaction, and revenue growth.

As a Software Engineer at [24]7.ai, you will lead dynamic teams in .NET development projects, working within a fast-paced and collaborative hybrid work environment in Bangalore. Explore the intricacies of UI development, back-end integration, and deployment using cutting-edge technologies. This guide on Interview Query will help you navigate the interview process, common questions, and tips to succeed in landing your desired role.

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining [24]7.Ai as a Software Engineer. Whether you were contacted by a [24]7.Ai recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the [24]7.Ai Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the [24]7.Ai Software Engineer hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the [24]7.Ai Software Engineer role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around .NET framework, SQL Server and MYSQL, Restful API, and other technologies mentioned in the job description.

Depending on the role specifics, take-home assignments related to web services, Windows service applications, and deployment on IIS Server/Cloud might be part of the screening. Apart from these, your knowledge of Razor pages, Angular with ASP.Net Core, and proficiency in C#, ASP.Net, and ASP.Net MVC (.NET Core & .NET Classic Framework), among others, will be tested.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the [24]7.Ai office. Your technical prowess, including programming, UI development using Razor pages, and SQL skills, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Software Engineer role at [24]7.Ai.

Quick Tips For [24]7.Ai Software Engineer Interviews

You should plan to brush up on any technical skills and try as many practice interview questions and mock interviews as possible. A few tips for acing your [24]7.Ai interview include:

• Understand the Required Technologies: [24]7.Ai questions are standardized and heavily rely on understanding of .NET framework, C#, ASP.Net MVC, and SQL querying. Be well-versed with these technologies, including Razor pages, Angular, and RESTful APIs.

• Deployment Knowledge: [24]7.Ai assesses your deployment skills on IIS Server/Cloud, ensuring you are proficient in these areas. Be prepared to discuss deployment scenarios and troubleshooting steps.

• Soft Skills and Leadership: [24]7.Ai looks for candidates who can lead teams and resolve incidents efficiently. Highlight your leadership experiences and prepare to discuss how you handle team dynamics and issue resolution.

Typically, interviews at [24]7.Ai vary by role and team, but commonly Software Engineer interviews follow a fairly standardized process across these question topics.

• Write a SQL query to select the 2nd highest salary in the engineering department. Write a SQL query to select the 2nd highest salary in the engineering department. If more than one person shares the highest salary, the query should select the next highest salary.

• Write a function to merge two sorted lists into one sorted list. Given two sorted lists, write a function to merge them into one sorted list. Bonus: Determine the time complexity.

• Create a function missing_number to find the missing number in an array. You have an array of integers, nums of length n spanning 0 to n with one missing. Write a function missing_number that returns the missing number in the array. Complexity of (O(n)) required.

• Develop a function precision_recall to calculate precision and recall metrics from a 2-D matrix. Given a 2-D matrix P of predicted values and actual values, write a function precision_recall to calculate precision and recall metrics. Return the ordered pair (precision, recall).

• Write a function to search for a target value in a rotated sorted array. Suppose an array sorted in ascending order is rotated at some pivot unknown to you beforehand. Write a function to search for a target value in the array and return its index; otherwise, return -1. Bonus: Your algorithm's runtime complexity should be in the order of (O(\log n)).

• Would you suspect anything unusual about the A/B test results with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Would you consider this result suspicious or potentially due to chance?

• How would you set up an A/B test to optimize button color and position for higher click-through rates? A team wants to A/B test changes in a sign-up funnel, such as changing a button from red to blue and/or moving it from the top to the bottom of the page. How would you design this test?

• What steps would you take if friend requests on Facebook are down 10%? A product manager at Facebook reports a 10% decrease in friend requests. What actions would you take to investigate and address this issue?

• Why might job applications be decreasing while job postings remain constant? You observe that the number of job postings per day has remained stable, but the number of applicants has been steadily decreasing. What could be causing this trend?

• What are the drawbacks of the given student test score datasets, and how would you reformat them for better analysis? You have data on student test scores in two different layouts. What are the drawbacks of these formats, and what changes would you make to improve their usefulness for analysis? Additionally, describe common issues found in "messy" datasets.

• Is this a fair coin? You flip a coin 10 times, and it comes up tails 8 times and heads twice. Determine if the coin is fair based on this outcome.

• How do you write a function to calculate sample variance? Write a function that outputs the sample variance given a list of integers. Round the result to 2 decimal places. For example, given test_list = [6, 7, 3, 9, 10, 15], the function should return 13.89.

• Is there anything fishy about the A/B test results? Your manager ran an A/B test with 20 different variants and found one significant result. Evaluate if there is anything suspicious about these results.

• How do you find the median in (O(1)) time and space? Given a list of sorted integers where more than 50% of the list is the same repeating integer, write a function to return the median value in (O(1)) computational time and space. For example, given li = [1,2,2], the function should return 2.

• What are the drawbacks of the given data organization, and how would you reformat it? You have data on student test scores in two different layouts (dataset 1 and dataset 2). Identify the drawbacks of these layouts, suggest formatting changes to make the data more useful for analysis, and describe common problems seen in "messy" datasets.

• How would you evaluate the suitability and performance of a decision tree model for predicting loan repayment? You are tasked with building a decision tree model to predict if a borrower will repay a personal loan. How would you evaluate whether a decision tree is the correct model for this problem? If you proceed with the decision tree, how would you evaluate its performance before and after deployment?

• How does random forest generate the forest and why use it over logistic regression? Explain how a random forest generates its forest of trees. Additionally, discuss why you might choose random forest over other algorithms like logistic regression.

• When would you use a bagging algorithm versus a boosting algorithm? You are comparing two machine learning algorithms. In which scenarios would you use a bagging algorithm versus a boosting algorithm? Provide examples of the tradeoffs between the two.

• How would you justify using a neural network model and explain its predictions to non-technical stakeholders? Your manager asks you to build a neural network model to solve a business problem. How would you justify the complexity of this model and explain its predictions to non-technical stakeholders?

• What metrics would you use to track the accuracy and validity of a spam classifier for emails? You are tasked with building a spam classifier for emails and have completed a V1 of the model. What metrics would you use to track the accuracy and validity of the model?

Interviewing for the Software Engineer position at [24]7.ai is a unique opportunity to work with a global leader in conversational AI and customer experience. The company values innovative developers who thrive in dynamic environments and are eager to lead impactful projects. If you're passionate about .NET development, working with cutting-edge technology, and solving real-world problems, [24]7.ai could be the right place for you.

If you want more insights about the company, check out our main [24]7.ai Interview Guide](https://www.interviewquery.com/interview-guides/24-7-ai) where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles, such as software engineer and data analyst, where you can learn more about 24-7-ai’s interview process for different positions.

At Interview Query, we empower you to unlock your interview prowess with a comprehensive toolkit, equipping you with the knowledge, confidence, and strategic guidance to conquer every [24]7.ai machine learning engineer interview question and challenge.

You can check out all our company interview guides for better preparation, and if you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!