📋 Job Details at a Glance 📍 Location Pune, Maharashtra, India 🏢 Company Zensar Technologies 👥 Experience 1-3 years 🎓 Qualification Bachelor's or Master's degree in Computer Science, Information Technology, or a related engineering field 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹5.5 – ₹9.0 LPA (Highly aligned with premium technology trends and developer frameworks) 🏢 Industry Technology 🛠 Key Skills Python Java C++ REST APIs Git SQL Generative AI Application Developer at Zensar Technologies — Full Details & How to Apply Zensar Technologies is seeking a Generative AI Application Developer in Pune, Maharashtra, India , offering freshers a chance to work with advanced AI technologies in a leading tech firm. This role is pivotal as the demand for AI-driven applications continues to surge, making it a crucial part of Zensar's expansion in generative solutions. The role of a Generative AI Application Developer is increasingly vital in the technology sector, especially as businesses pivot towards AI-enhanced applications. Zensar Technologies is at the forefront of this shift, focusing on innovative enterprise solutions that leverage generative AI to improve efficiency and user experience. What sets Zensar Technologies apart is its impressive scale and global reach, with over 10,000 employees operating in 30 countries . Founded in 1991 , the company has established a strong reputation in the tech industry, making it an attractive employer for those looking to advance their careers in AI development. This opportunity is ideal for 2022, 2023, 2024, 2025 graduates with a Bachelor's or Master's degree in Computer Science, Information Technology, or a related engineering field . Candidates should have 1-3 years experience and can expect a competitive salary ranging from ₹5.5 – ₹9.0 LPA , which is highly aligned with premium technology trends and developer frameworks. In this role, you will gain hands-on experience with essential skills such as Python , Java , C++ , REST APIs , Git , and SQL . This position not only opens doors to advanced AI/LLM models but also positions you for future career growth in a rapidly evolving field, setting you apart from competitors in the job market. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The Generative AI Application Developer at Zensar Technologies is tasked with creating innovative AI solutions that enhance enterprise functionalities, utilizing advanced programming skills and collaboration across teams. Develop generative AI applications using Python and Java , focusing on real-world enterprise solutions that meet client needs. Implement REST APIs to facilitate seamless integration of AI functionalities into existing systems, ensuring smooth communication between components. Collaborate with cross-functional teams, including Data Science and UX/UI, to ensure cohesive application development and user-centric design. Analyze application performance metrics to optimize AI solutions, ensuring high efficiency and user satisfaction through data-driven insights. Take ownership of project timelines and deliverables, driving initiatives from conception to deployment while managing expectations. Document development processes and communicate progress to stakeholders, ensuring transparency and alignment throughout the project lifecycle. Engage in problem-solving sessions with clients to tailor AI solutions to their specific needs, enhancing customer satisfaction. In this role, you will have the opportunity to take full ownership of projects, making a direct impact on the success of Zensar Technologies and its clients. Required Skills & Technical Competencies The ideal candidate for the Generative AI Application Developer role must possess a robust skill profile that includes both technical and soft skills relevant to AI application development. Technical Skills Python — intermediate — essential for developing AI applications, utilizing libraries like TensorFlow or PyTorch for machine learning tasks. Java — intermediate — used for backend development, crucial for building robust enterprise applications that support AI functionalities. C++ — intermediate — beneficial for performance-critical components of AI applications, requiring a solid understanding of memory management. REST APIs — intermediate — necessary for enabling communication between different software components, ensuring integration capabilities within applications. Git — intermediate — important for version control, facilitating collaboration among developers in a team setting and maintaining code integrity. SQL — intermediate — used for managing and querying databases, essential for handling data in AI applications. Soft Skills & Professional Competencies Effective Communication — essential for articulating technical concepts to non-technical stakeholders and ensuring project alignment. Problem-Solving — critical for addressing client-specific needs and tailoring AI solutions effectively. Time Management — necessary for managing project timelines and deliverables efficiently. Adaptability — important for adjusting to new technologies and methodologies in a rapidly evolving field. Good to Have (Bonus Skills) Experience with machine learning frameworks — unlocks advanced AI capabilities in application development. Knowledge of cloud platforms like AWS or Azure — enhances deployment and scalability of applications. Familiarity with Agile methodologies — improves project management and delivery timelines. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in relevant areas. Eligibility Criteria This role is designed for candidates who possess a strong technical foundation and are eager to contribute to innovative AI solutions at Zensar Technologies . Candidates must hold a Bachelor's or Master's degree in Computer Science , Information Technology , or related fields. Eligible batches include 2022 , 2023 , 2024 , and 2025 , allowing fresh graduates to apply for this role. 1-3 years of relevant experience is preferred, but freshers with strong programming skills are encouraged to apply. A minimum academic performance of 60% is expected, reflecting a solid understanding of core concepts. Having a portfolio or GitHub showcasing projects can significantly enhance a candidate's application. Documentation & Portfolio Requirements Ensure your resume is well-structured, highlighting relevant skills and experiences. Include links to your portfolio or GitHub to showcase your projects effectively. Pro tip: Tailor your application to highlight specific experiences with Python and REST APIs to stand out in the selection process. Salary for Generative AI Application Developer at Zensar Technologies 💰 Compensation ₹5.5 – ₹9.0 LPA (Highly aligned with premium technology trends and developer frameworks) The advertised compensation for the Generative AI Application Developer role at Zensar Technologies is ₹5.5 – ₹9.0 LPA (Highly aligned with premium technology trends and developer frameworks) . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Zensar Technologies The selection process for the Generative AI Application Developer role is designed to assess both technical skills and cultural fit within the team. 1 Online Coding Test — 60 minutes, assessing programming skills and problem-solving abilities. 2 Technical Interview — focuses on Python , Java , and AI concepts, including specific topics like algorithms and data structures. 3 Behavioral Interview — evaluates cultural fit and teamwork, using situational questions. 4 HR Interview — discusses offer details and company culture, with a timeline for offer communication. Topic-wise Preparation Guide Round 1: Online Coding Test Data Structures — essential for efficient coding and problem-solving. — GeeksForGeeks Algorithms — understanding sorting and searching algorithms is crucial. — GeeksForGeeks Basic Python/Java Syntax — familiarity with language-specific features. — W3Schools REST API Concepts — knowledge of how APIs function and are implemented. — YouTube Round 2: Technical Interview Python Libraries — depth in libraries relevant to AI development. — Coursera Java Frameworks — understanding frameworks like Spring for enterprise applications. — Udemy SQL Queries — ability to write and optimize queries for data retrieval. — SQLZoo Machine Learning Basics — foundational knowledge of ML concepts. — Coursera Software Development Life Cycle — understanding the phases of development. — GeeksForGeeks Round 3: Behavioral Interview Team Collaboration — using the STAR method to discuss past teamwork experiences. Conflict Resolution — scenarios where you handled disagreements in a team. Technical Deep-Dive — discussing a specific project or technology you've worked on. Timeline & Expectations The typical timeline from application submission to offer communication is approximately 4-6 weeks . Prepare thoroughly for each round, focusing on both technical skills and cultural fit to align with Zensar's values. Expected Interview Questions for Generative AI Application Developer at Zensar Technologies These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain how you would implement a REST API in Python . What are the differences between Python and Java for AI development? How do you manage dependencies in a C++ project? Describe a project where you used SQL for data analysis. What is your experience with Git in collaborative projects? How would you optimize an AI model for performance? Behavioral Questions Describe a time you faced a challenge in a team project and how you resolved it. How do you prioritize tasks when working on multiple projects? Give an example of a time you had to learn a new technology quickly. How do you handle feedback from peers or supervisors? Role-Specific Questions What excites you about working in generative AI? How would you approach building a scalable AI application? What are the key considerations when integrating AI into existing systems? Structure your answers using the STAR method to clearly convey your experiences and thought processes. Resume Tailoring & ATS Keywords for Generative AI Application Developer Optimizing your resume for ATS is crucial for standing out in the application process. ATS Keywords to Include Generative AI Python Java C++ REST APIs SQL Git Software Development Machine Learning Data Structures Algorithms Cloud Computing Resume Tips for This Role Highlight relevant projects that showcase your programming skills and understanding of AI. Emphasize teamwork and collaboration experiences, as these are valued at Zensar . Include links to your GitHub or portfolio to demonstrate your coding capabilities. Optimize for ATS by using keywords from the job description. Avoid including unrelated work experiences that do not align with the role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include unrelated experiences or skills that do not pertain to the Generative AI role. About Zensar Technologies Zensar Technologies was founded in 1991 and is headquartered in Pune, Maharashtra . With a global presence across 30 countries and a workforce exceeding 10,000 employees , the company has established itself as a significant player in the technology sector. The core offerings of Zensar Technologies include digital transformation services, cloud solutions, and AI-driven applications, specifically designed for industries such as retail, manufacturing, and banking. Their flagship products leverage advanced technologies to optimize business processes and enhance customer experiences. Zensar Technologies has received accolades for its workplace culture, including a Glassdoor rating of 4.1 , which reflects high employee satisfaction and engagement. The company invests in various employee development programs, fostering a culture of continuous learning and innovation. Recently, Zensar Technologies announced a strategic partnership with a leading AI firm to enhance its AI capabilities, showcasing its commitment to innovation and growth in technology. This initiative aims to expand their service offerings and improve client solutions. For freshers in technology, Zensar Technologies serves as a robust career launchpad, providing extensive training and mentorship opportunities. The company’s focus on employee development ensures that new hires can quickly adapt and thrive in their roles. Why Join Zensar Technologies as Generative AI Application Developer? Joining Zensar Technologies as a Generative AI Application Developer offers a unique chance to work with cutting-edge technologies while enhancing your programming skills in a supportive environment. Hands-on Experience — Work with Python and Java to develop innovative AI applications, allowing you to apply theoretical knowledge in practical scenarios. Skill Development — Gain expertise in REST APIs and SQL , essential for building scalable applications that meet enterprise demands. Career Advancement — Opportunities for growth into roles such as AI Solutions Architect or Senior Developer within 1-2 years , thanks to Zensar's internal mobility programs. Collaborative Culture — Engage in teamwork across various departments, fostering an environment that encourages innovation and creative problem-solving. Vibrant Location — Experience life in Pune , known for its vibrant lifestyle and lower cost of living compared to other major tech hubs. According to NexisGrow.com, the role of a Generative AI Application Developer at Zensar Technologies not only enhances technical skills but also opens doors to future leadership positions in the tech industry. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Generative AI Application Developer at Zensar Technologies? Eligibility Tap to expand + Answer Candidates with Bachelor's or Master's degree in Computer Science, Information Technology, or a related engineering field and 1-3 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, Java, C++, REST APIs, Git. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹5.5 – ₹9.0 LPA (Highly aligned with premium technology trends and developer frameworks). Final offer depends on skills, experience, and interview performance. ? What is the interview process at Zensar Technologies? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, Java, C++, REST APIs, Git. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Generative AI Application Developer interview? Preparation Tap to expand + Answer (1) Core concepts of Python, Java, C++, REST APIs, Git, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Zensar Technologies research, (5) Clear communication. ? What is the work culture like at Zensar Technologies? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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