📋 Job Details at a Glance 📍 Location Pune, Maharashtra, India 🏢 Company Zensar 👥 Experience 1-3 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹8–14 LPA* 🏢 Industry Technology 🛠 Key Skills Generative AI LLMs Python AI Application Development Problem-Solving Generative AI Application Developer at Zensar — Full Details & How to Apply Zensar is seeking a Generative AI Application Developer in Pune, Maharashtra, India , where you'll contribute to cutting-edge AI applications and solutions. With a competitive salary range of ₹8–14 LPA* , this role is perfect for fresh graduates eager to advance in technology. The demand for Generative AI applications is surging, as companies increasingly adopt AI solutions to enhance operational efficiency and customer experience. This specific Generative AI Application Developer role is crucial in this evolving landscape, allowing you to be at the forefront of technological advancements that drive business success. What makes Zensar unique is its focus on digital transformation services, having been a leader in the technology sector since its founding in 1979 . With over 10,000 employees globally, Zensar fosters a culture of innovation and collaboration, making it an ideal environment for aspiring developers. We encourage 2022, 2023, 2024, 2025 graduates from any graduate background with 1-3 years experience to apply. This position offers a salary of ₹8–14 LPA* , making it an attractive option for those looking to kickstart their careers in AI. In this role, you will gain hands-on experience with Generative AI , LLMs , and Python , opening doors to various career paths in AI application development. The skills you acquire will not only enhance your technical expertise but also position you for rapid advancement in a growing field. 📊 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 core mission of the Generative AI Application Developer at Zensar is to innovate and enhance AI applications, ensuring they are user-friendly and efficient through advanced algorithms and integration techniques. Develop Generative AI applications using Python , focusing on creating user-friendly interfaces that enhance user interaction and satisfaction. Integrate AI models into existing systems, leveraging TensorFlow for model deployment and optimization to improve application performance. Collaborate with cross-functional teams, including Data Science and Product Management , to ensure alignment on project goals and deliverables. Monitor application performance metrics, utilizing tools like Google Analytics to identify areas for improvement and enhance user experience. Take ownership of project components, leading initiatives to innovate and improve existing AI solutions through effective problem-solving. 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 that meet specific business needs and requirements. This role fosters an ownership culture, allowing developers to make a direct impact on the success of AI applications and the overall business objectives. Required Skills & Technical Competencies The ideal candidate for the Generative AI Application Developer role should possess a robust skill profile that includes both technical and soft skills essential for AI application development. Technical Skills Generative AI — intermediate — essential for developing innovative applications that meet market demands and user needs. Python — advanced — the primary programming language used for application development, requiring proficiency in libraries such as NumPy and Pandas . AI Application Development — intermediate — involves creating scalable solutions, necessitating knowledge of software development life cycles and methodologies. Familiarity with LLMs — intermediate — important for understanding and implementing large language models in practical applications. Problem-Solving — advanced — critical for addressing challenges in AI development, requiring analytical thinking and creativity. Soft Skills & Professional Competencies Analytical Thinking — essential for breaking down complex problems and developing effective AI solutions. Effective Communication — necessary for articulating technical concepts to non-technical stakeholders and ensuring project alignment. Collaboration — vital for working with cross-functional teams to achieve project goals and deliver high-quality AI applications. Adaptability — important for adjusting to new technologies and methodologies in the rapidly evolving field of AI. Good to Have (Bonus Skills) Experience with cloud platforms like AWS or Azure , enhancing deployment capabilities for AI applications. Knowledge of data visualization tools such as Tableau , aiding in presenting AI insights effectively. Familiarity with Agile methodologies , streamlining project management and enhancing team collaboration. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in AI application development. Eligibility Criteria This role is designed for recent graduates and early-career professionals who are eager to develop their skills in AI application development. Any graduate is eligible, as the role emphasizes skills over specific degrees. Eligible batches include 2022 , 2023 , 2024 , and 2025 , allowing recent graduates and those nearing graduation to apply. The experience requirement is 1-3 years , but freshers with relevant skills and internships are encouraged to apply. A minimum academic performance of 60% is preferred, ensuring candidates have a solid academic foundation. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a candidate's application. Documentation & Portfolio Requirements Ensure your resume is well-structured and includes relevant experiences, skills, and a link to your portfolio or GitHub showcasing your projects and contributions. Pro tip: Highlight specific projects where you utilized Generative AI and Python to solve real-world problems, as this will resonate with the hiring team. Salary for Generative AI Application Developer at Zensar 💰 Compensation ₹8–14 LPA* The advertised compensation for the Generative AI Application Developer role at Zensar is ₹8–14 LPA* . 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 The selection process for the Generative AI Application Developer role is designed to assess both technical and cultural fit, ensuring candidates align with the company's innovative approach. 1 Online Assessment — 60 minutes, testing coding and problem-solving skills through MCQs and coding challenges. 2 Technical Interview — in-depth discussion on Python, Generative AI, and LLMs, focusing on algorithms and data structures. 3 Behavioral Interview — evaluating cultural fit and problem-solving abilities through situational questions. 4 HR Interview — discussing salary expectations and offer details, typically completed within a week of the last interview. Topic-wise Preparation Guide Round 1: Online Assessment Data Structures — understanding arrays, linked lists, and trees, crucial for coding challenges — GeeksForGeeks Algorithms — focusing on sorting and searching algorithms, relevant for problem-solving tasks — LeetCode Python Basics — syntax, functions, and libraries, essential for the technical assessment — W3Schools Generative AI Concepts — foundational knowledge of AI principles and applications — Coursera Round 2: Technical Interview Python Proficiency — in-depth understanding of Python libraries relevant to AI development — Udemy Generative AI Techniques — practical applications and model training processes — Coursera Data Handling — techniques for data preprocessing and manipulation using Pandas — freeCodeCamp AI Model Evaluation — understanding metrics for assessing model performance — YouTube Problem-Solving Strategies — approaches to tackle coding challenges effectively — HackerRank Round 3: Behavioral Interview Behavioral Questions — using the STAR method to articulate past experiences and challenges — MindTools Team Collaboration — discussing experiences working in teams and resolving conflicts — MindTools Technical Deep-Dive — explaining specific projects or technologies used in previous roles — YouTube Timeline & Expectations The typical timeline from application to offer is approximately 2-4 weeks , depending on the number of candidates and scheduling. Prepare thoroughly for each round, focusing on both technical skills and cultural fit to align with Zensar 's innovative environment. Expected Interview Questions for Generative AI Application Developer at Zensar These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain how you would implement a Generative AI model using Python. What libraries would you use for data manipulation in Python? Describe the process of training a large language model. How do you evaluate the performance of an AI model? What are the key challenges in deploying AI applications? Can you explain the difference between supervised and unsupervised learning? Behavioral Questions Describe a time when you faced a technical challenge and how you overcame it. How do you prioritize tasks when working on multiple projects? Tell me about a time you worked in a team and your role in that team. How do you handle feedback and criticism? Role-Specific Questions What is your experience with AI application development? How would you approach integrating an AI model into an existing system? What strategies would you use to ensure the scalability of an AI application? Structure your answers using the STAR method to clearly articulate 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 for this role. ATS Keywords to Include Generative AI Python AI Application Development LLMs Problem-Solving Data Structures Algorithms Machine Learning TensorFlow Pandas Cloud Computing Agile Resume Tips for This Role Highlight relevant projects or internships that demonstrate your skills in AI and application development. Emphasize your proficiency in Python and any experience with AI frameworks. Include a link to your GitHub or portfolio showcasing your work in AI applications. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not pertain to the role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or experiences that do not directly relate to the Generative AI Application Developer role. About Zensar Zensar , founded in 1979 , is headquartered in Pune, Maharashtra, India , and operates in 26 countries worldwide, employing over 10,000 professionals . The company has established a significant global footprint, providing innovative technology solutions that drive digital transformation across various industries. Specializing in AI-driven services , cloud solutions , and data analytics , Zensar offers a comprehensive suite of enterprise applications. Their flagship products include Zensar Cloud and SmartAI , which cater to diverse sectors such as retail, manufacturing, and finance, ensuring tailored solutions for clients. Recognized for its exceptional workplace culture, Zensar boasts a Glassdoor rating of 4.0 , highlighting employee satisfaction and opportunities for professional growth. The company actively promotes mentorship programs and continuous learning, fostering an environment where employees can thrive and innovate. Recently, Zensar announced a strategic partnership with a leading AI firm, enhancing its capabilities in Generative AI and Large Language Models (LLMs) . This initiative underscores the company's commitment to staying at the forefront of technological advancements and expanding its service offerings. For freshers in technology, Zensar serves as a robust career launchpad, providing exposure to cutting-edge technologies and hands-on experience in AI application development . The company’s focus on mentorship and skill development ensures that new employees are well-equipped to navigate their careers in the tech industry. Why Join Zensar as Generative AI Application Developer? At Zensar , you will gain invaluable experience in Generative AI and LLMs , working on real-world applications that leverage advanced technologies. Hands-on Experience — Engage with tools like TensorFlow and PyTorch to develop innovative AI solutions. Collaborative Projects — Work alongside seasoned professionals in AI application development , enhancing your skills through teamwork. Career Progression — After 1-2 years, potential roles include AI Solutions Architect or Senior AI Developer , providing a clear path for advancement. Culture of Innovation — Contribute to an environment where fresh ideas are encouraged and valued, driving technological advancements. Vibrant Location — Based in Pune , enjoy access to tech hubs, educational institutions, and rich cultural experiences. According to NexisGrow.com, a role at Zensar as a Generative AI Application Developer offers a unique blend of professional growth and exposure to cutting-edge technologies, making it an ideal choice for aspiring tech professionals. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Generative AI Application Developer at Zensar? Eligibility Tap to expand + Answer Candidates with Any Graduate 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: Generative AI, LLMs, Python, AI Application Development, Problem-Solving. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹8–14 LPA*. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Zensar? 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: Generative AI, LLMs, Python, AI Application Development, Problem-Solving. ? 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 Generative AI, LLMs, Python, AI Application Development, Problem-Solving, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Zensar research, (5) Clear communication. ? What is the work culture like at Zensar? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Pune Browse all Tech jobs More jobs at Zensar Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com