📋 Job Details at a Glance 📍 Location India 🏢 Company Zensar 👥 Experience 1-3 years 🎓 Qualification Hands-on with Python, Azure, APIs. Relevant technical qualification and demonstrated shipping experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python Azure APIs Large Language Models Retrieval-Augmented Generation Document Intelligence Multimodal AI Vector Databases GenAI Developer at Zensar — Full Details & How to Apply Zensar is seeking a GenAI Developer to design and deploy enterprise-grade AI applications in India . This role requires hands-on experience with Python, Azure, and APIs , and offers direct involvement in building Retrieval-Augmented Generation (RAG) solutions and document intelligence platforms. This GenAI Developer role focuses on developing AI applications powered by Large Language Models (LLMs) and multimodal AI systems. Candidates will work on real-world business problems using technologies such as Azure OpenAI, vector databases , and document intelligence platforms. The role emphasizes practical implementation, including API integration and deployment of AI models in enterprise environments. The job posting specifies that this position is part of Zensar ’s technology team, with responsibilities centered on AI application development. The role is designed for individuals with hands-on technical experience and a demonstrated history of shipping AI solutions. No company-specific achievements or client data are provided in the posting. 2023, 2024, 2025, 2026 graduates are eligible. Candidates must have hands-on with Python, Azure, APIs , a relevant technical qualification, and demonstrated shipping experience . The role requires 1-3 years of experience . The salary is Not Disclosed . As part of this role, you will gain hands-on experience with Python , Azure , APIs , Large Language Models , Retrieval-Augmented Generation , Document Intelligence , Multimodal AI , and Vector Databases . This experience provides a foundation for advancing into senior AI engineering roles and contributes to building scalable AI solutions in enterprise settings. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No 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. Explore more GenAI Developer jobs , Zensar recruitment , and India jobs on our platform. Job Role & Responsibilities The GenAI Developer at Zensar is responsible for building and deploying enterprise AI solutions using Large Language Models , Retrieval-Augmented Generation , and Document Intelligence to solve real-world business problems through scalable APIs on Azure . This role ensures operational stability, performance metrics, and code maintainability in production AI systems. Design enterprise-grade AI applications using Large Language Models to process natural language inputs and generate structured outputs with high accuracy and low latency. Develop scalable AI APIs using Python and Azure services such as Azure Functions and Azure API Management to serve real-time AI capabilities to clients. Collaborate with engineering teams to translate business requirements into technical specifications using Document Intelligence and Retrieval-Augmented Generation workflows. Implement performance monitoring dashboards using Azure Monitor and custom metrics to track response time, throughput, and error rates of AI services. Maintain existing AI codebases in Python and Vector Databases to ensure stability, security, and compliance with enterprise data governance policies. Document end-to-end development processes, including model training pipelines, data ingestion flows, and deployment procedures using APIs and Vector Databases . Resolve production-level issues in AI applications by debugging Python scripts, analyzing API logs, and validating Retrieval-Augmented Generation outputs for consistency. Optimize multimodal AI models using Vector Databases to improve retrieval precision and reduce inference costs in real-world use cases. This role demands direct ownership of AI application performance, from design to deployment, with measurable impact on system reliability and user experience metrics in production environments. Required Skills & Technical Competencies The GenAI Developer must possess hands-on technical expertise in Python , Azure , APIs , and core AI technologies such as Large Language Models , Retrieval-Augmented Generation , and Document Intelligence to deliver functional, deployable AI solutions. Technical Skills Python — intermediate — used to implement AI algorithms, build model pipelines, and integrate with Vector Databases and APIs in production environments. Azure — intermediate — used for deploying AI services via Azure Functions, managing cloud resources, and monitoring AI applications using Azure Monitor. APIs — intermediate — critical for building and consuming RESTful and GraphQL endpoints to expose AI capabilities to external systems and users. Large Language Models — entry — applied to generate responses from text inputs using pre-trained models such as GPT or Llama via Python -based inference pipelines. Retrieval-Augmented Generation — entry — implemented to combine document retrieval with LLM generation, using Vector Databases to store and query embeddings. Document Intelligence — entry — used to extract structured data from unstructured documents using Azure Form Recognizer and Python libraries. Vector Databases — entry — leveraged to store and retrieve embeddings from text and image data for retrieval-based AI applications using Python and APIs . Multimodal AI — entry — applied to process both text and image inputs using hybrid models, with integration via Python and Azure services. When preparing a resume, emphasize hands-on projects involving Python , APIs , and Vector Databases with measurable outcomes such as accuracy, response time, or scalability. Eligibility Criteria This role is designed for candidates with a relevant technical qualification and 1–3 years of hands-on experience in AI development, particularly in Python , Azure , and APIs environments. Must hold a relevant technical qualification such as a B.Tech in Computer Science or a diploma in AI/ML with demonstrated project experience. Eligible batches are 2023 , 2024 , 2025 , and 2026 only. Minimum of 1 year of practical experience in AI or software development, including work on Python scripts, APIs , or Vector Databases projects. CGPA or academic performance is not specified, but project quality and technical depth are critical. Must have a portfolio or GitHub repository showcasing Python code, API integrations, and AI model implementations using Large Language Models or Document Intelligence . Experience with multimodal AI or Retrieval-Augmented Generation workflows is a strong differentiator. Documentation & Portfolio Requirements Your resume must include a clear section on technical projects, listing tools used (e.g., Python , Azure , Vector Databases ), specific AI models, and measurable outcomes such as accuracy, latency, or data volume processed. For this role, prioritize showcasing a GitHub repository with a working Python script that implements Retrieval-Augmented Generation using Vector Databases and APIs — include metrics like response time or retrieval precision to demonstrate technical depth. Salary for GenAI Developer at Zensar 💰 Compensation Not Disclosed The advertised compensation for the GenAI Developer role at Zensar is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for GenAI Developer Upskilling with the right resources significantly enhances your chances of selection for the GenAI Developer role by aligning your skills with job requirements. Recommended Courses & Resources Python — Essential for hands-on development in AI applications. Azure — Crucial for deploying scalable AI solutions in the cloud. APIs — Important for integrating various AI services and functionalities. Document Intelligence — Enhances understanding of processing and analyzing documents using AI. KodNest — Provides practical experience in coding and AI project development. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating hands-on experience with Python — Ensure you showcase relevant projects. ❌ Using a generic resume — Tailor your resume to align with the specific responsibilities listed. ❌ Listing technologies like Azure without context — Provide examples of where and how you applied them. ❌ Ignoring the experience requirement of 1-3 years — Be mindful of your eligibility. ❌ Adding unrelated technologies or unsupported claims — Stick to substantiated experiences only. ❌ Failing to verify the official Apply URL — Always check the link before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for GenAI Developer Optimizing your resume for ATS is crucial for the GenAI Developer role to ensure it passes initial screenings and highlights your relevant skills. ATS Keywords to Include Python Azure APIs Large Language Models Retrieval-Augmented Generation Document Intelligence Multimodal AI Vector Databases AI applications Enterprise-grade AI Engineer Scalable APIs Resume Tips for This Role Highlight hands-on experience with Python , as it is a key requirement for the role. Emphasize experience with Azure and APIs , as they are critical for developing AI applications. Showcase a project that involved building AI applications or working with LLMs . Use exact keywords from the job description naturally to improve ATS alignment. Avoid including unsupported claims about technologies or experiences that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including irrelevant experiences or technologies that do not pertain to the GenAI Developer role. How to Apply for GenAI Developer at Zensar Apply Now — Zensar Open the official Apply URL and confirm the job title and company is correct. Prepare a resume aligned with the required skills, responsibilities, qualifications, and experience. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if provided. Record the application date and monitor the official company portal or registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — Zensar NexisGrow.com does not charge any fees for job applications. Zensar Zensar is a technology company based in India. It operates with an onsite work mode and specializes in AI applications and solutions. This GenAI Developer role supports innovation in AI-driven enterprise applications within the technology industry. The team develops AI applications using Python , Azure , APIs , and advanced AI techniques such as Large Language Models , Retrieval-Augmented Generation , Document Intelligence , and Multimodal AI . Work involves building scalable AI solutions with vector databases and AI APIs . This role contributes to the development of practical AI applications by integrating modern AI engineering practices with real-world business needs. It enables early-career exposure to hands-on GenAI technologies like LLMs, RAG, and multimodal AI . Company Details Industry Technology Location India Connect With Us Careers Apply Now Website 🔗 fa-etvl-saasfaprod1.fa.ocs.oraclecloud.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical qualification and 1-3 years of experience from the eligible batches of 2023, 2024, 2025, and 2026 can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Python, Azure, APIs, Large Language Models, and Retrieval-Augmented Generation are critical for this role. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review Python and Azure fundamentals. 2. Familiarize yourself with Large Language Models. 3. Prepare examples of past projects. 4. Understand Retrieval-Augmented Generation concepts. 5. Be ready to discuss problem-solving approaches. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in India. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to advanced AI technologies and practices, particularly in developing enterprise-grade applications. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Python, Azure, and APIs, along with relevant project experience in AI applications. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with engineers and business stakeholders to develop AI applications. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, the experience requirement is 1-3 years, making this role unsuitable for freshers. 🔗 Explore More on NexisGrow More jobs in India Browse all Tech jobs Latest Fresher 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