After reviewing his CV, our AI-Recruiter Tina asked the candidate about his key projects as a ‘Senior Technical Program Manager’, including a GCP migration project. She also inquired about his preferred backend engineering framework and knowledge of Microservices Architecture. The easy rapport here emphasizes the human-like interaction possible with an AI.
This candidate interviewed for a globally-renowned electronics company. It was important that candidates be well-versed in C and C++. Our AI-Recruiter, Tina asks the person to rate their technical knowledge. Then based on the rating, Tina follows up with a question in keeping with that particular difficulty level. Thus the company was able to select the best candidate possible.
In the interview, AI-Recruiter Tina assesses the candidate’s experience to gauge role suitability. Tina identifies the candidate as a mid-level professional and crafts her questions to highlight the candidate’s skills and experiences. Noting the candidate’s limited B2B sales experience, Tina gently moves to the interview’s next segment.
This candidate interviewed with a start-up which deals in renewable energy. The company was looking for candidates with a certain level of experience, hence our AI-Recruiter Tina asks about the number of years they’ve worked. Then based on the candidate’s reply she asks more detailed questions. And you can hear her pick out the company at which this person worked.
In an interview for a company with holiday resorts in India and abroad, our AI-Recruiter Tina skillfully explored the candidate’s sales ability and passion for travel. She engaged the candidate in a discussion about his trip to Kashmir and then cleverly steered the conversation, asking how he would pitch the location to potential customers.
Interviewing for a role at a medium-sized South African printing company, the applicant interacted with AI-Recruiter Tina, who spoke with a South African accent for relatability. Tina initiated the conversation, inquiring about the candidate’s background and then progressing to relevant questions. Notably, Tina recognized and acknowledged the candidate’s education at the London School of Economics.
This candidate detailed her transition from Visual Basic to becoming proficient in C#. To better understand the challenges she faced while moving from one programming language to another, our AI-Recruiter Tina asked the candidate a significant follow-up question. The candidate’s answer showcased how she faced difficulties and worked to upskill herself.
After going through this candidate’s CV, Tina probes him about his work as a ‘Programmer Analyst’. He mentions the various frameworks he has used for data transfer and security checks. Tina asks a pertinent follow-up question to get further insight into exactly what the applicant’s job entailed. The candidate then enumerates the responsibilities of his role.
Tina, our AI-recruiter, converses with a candidate about his previous role and then questions him about role-related aspects like onsite variations, billing automation, and optimization. She also asks about his experience with billing software, to which he responds with enthusiasm, highlighting his favourite feature, showcasing his comfort in interacting with Tina.
Here, Tina inquired about the candidate’s expertise in designing aluminum sections, receiving a thorough response. However, he admitted to lacking hands-on experience in related areas. When asked about his career change motivation, he expressed his goal for a leadership role. This conversation highlights Tina’s skill in identifying the candidate’s expertise and knowledge gaps.
Tina effectively interviews a senior banking professional with 14 years of experience, who is impressed by the experience. The candidate found this bank’s recruitment campaign on social media, submitted her CV, and was contacted by Tina. In the interview, the candidate expresses amazement at the engaging interaction with the AI-Recruiter, especially given her extensive industry experience.
Experience our AI-Recruiter, Tina interviewing a candidate for a New York-based company. Speaking in a North American accent to ensure a global and authentic hiring process, she evaluates the candidate’s knowledge of Python code analysis tools such as ‘Pylint’ and ‘Flake8’. Assessing proficiency with incisive questions, this snippet showcases our dedication to efficient global recruitment.
Interviewing on behalf of a growing social media app company, Zoe, our US AI-Recruiter, matches college students’ interests with suitable roles during campus placements. Observe Zoe conversing with a candidate, exploring his collegiate experiences and hobbies. After the candidate’s response, Zoe smoothly transitions into a deeper conversation with relevant inquiries.
Our AI-Recruiter, Tina interviews a U.S. candidate for an enterprise sales role at a growing software company. The conversation begins with the candidate’s sales experience and quickly deepens to explore their focus on B2B or B2C markets, average deal size, and challenges faced. This highlights Tina’s skill in identifying the candidate’s expertise and creating an engaging human-like conversation.
Tina, our AI-Recruiter, conducts an insightful interview with a US candidate about their proficiency with CRM tools. Tina delves into how the candidate has utilized CRMs, probing challenges faced during integration into business processes. This segment highlights Tina’s ability to assess a candidate’s technical skills and practical experience thoroughly.
Mid-Level
India
Tech Startup
