📋 Job Details at a Glance 📍 Location Gurgaon, India 🏢 Company Genpact 👥 Experience 1-3 years 🎓 Qualification Senior level. Hands-on with Python, Azure, TensorFlow, PyTorch, AI / LLM agents. 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 TensorFlow PyTorch AI LLM agents machine learning AI Engineer 4A at Genpact — Full Details & How to Apply Genpact is hiring for an AI Engineer 4A role in Gurgaon, India , offering hands-on experience with LLM agents and large-scale AI models in a hybrid work environment. This position is part of Genpact ’s AI Gigafactory, an industry-first accelerator that scales advanced technology solutions for global enterprises. This AI Engineer 4A role focuses on developing and deploying AI solutions using Python , Azure , TensorFlow , and PyTorch . Candidates will work directly on building AI and LLM agents to solve complex business problems, with emphasis on practical implementation and real-world deployment. The role requires active use of machine learning frameworks and agentic AI systems to deliver scalable, production-ready solutions. Genpact recruitment for this role highlights a dedicated AI initiative through its AI Gigafactory, where advanced AI solutions are developed and scaled. The position is part of a structured technology team that leverages AI and machine learning tools to address real business challenges. The company emphasizes technical depth and practical experience in AI development. 2023, 2024, 2025, 2026 graduates are eligible. Applicants must have Senior level. Hands-on with Python, Azure, TensorFlow, PyTorch, AI / LLM agents. Relevant technical qualification and demonstrated shipping experience , and at least 1-3 years of experience . The salary for this role is Not Disclosed . Candidates will gain direct experience with Python , Azure , TensorFlow , PyTorch , and AI / LLM agents . This role provides a foundation for advancing into senior AI engineering roles, with exposure to full lifecycle AI development and deployment in enterprise environments. 📊 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. Search for AI Engineer 4A jobs , explore Genpact recruitment opportunities, and find Gurgaon, India jobs with hands-on AI experience. Apply online to access this role in the technology sector. Job Role & Responsibilities The AI Engineer 4A at Genpact is responsible for building, deploying, and maintaining AI-driven solutions using Python , TensorFlow , and PyTorch to solve real-world business problems in cloud environments via Azure . This role ensures end-to-end delivery of AI and LLM agents with measurable performance metrics. Develop AI models using Python and PyTorch to solve classification and regression tasks with accuracy targets of at least 90% on validation datasets. Deploy trained machine learning models on Azure using Azure Machine Learning services, ensuring model versioning and endpoint scalability. Train deep learning models with TensorFlow and PyTorch using labeled datasets from business domains such as finance or supply chain operations. Collaborate with business stakeholders to extract requirements and translate them into AI workflows using Python scripts and LLM agents . Monitor model performance in production using Azure Monitor and custom metrics, tracking drift, latency, and error rates in real time. Maintain existing AI codebases in GitHub with version control, ensuring code quality through CI/CD pipelines and automated testing. Optimize model efficiency by reducing inference time using TensorFlow and PyTorch model pruning and quantization techniques. Resolve integration issues between AI agents and backend systems using Python APIs and error logging in Azure Application Insights. This role demands direct ownership of AI solution performance, from model training to production deployment, with measurable impact on business KPIs such as cost reduction or process automation efficiency. Required Skills & Technical Competencies The AI Engineer 4A role requires a strong foundation in Python , Azure , TensorFlow , PyTorch , and AI / LLM agents to deliver scalable and reliable AI solutions. All skills must be demonstrated through hands-on implementation in real projects. Technical Skills Python — advanced — used for implementing AI pipelines, data preprocessing, and model evaluation in production environments. Azure — intermediate — used for deploying AI models via Azure Machine Learning and managing cloud infrastructure for model serving. TensorFlow — advanced — used for building and training deep learning models, including neural networks for image and text classification. PyTorch — advanced — used for developing and fine-tuning deep learning models, especially for natural language processing and sequence modeling. AI — intermediate — applied in designing intelligent agents that perform automated decision-making in business workflows. LLM agents — intermediate — used to build autonomous agents that interact with APIs, parse documents, and generate responses using large language models. When showcasing these skills, emphasize specific projects where you used Python scripts, TensorFlow or PyTorch models, and Azure deployment — include metrics like accuracy, inference time, or error reduction. 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 with Python , TensorFlow , and PyTorch . It is not suitable for entry-level candidates without demonstrable project experience. Must hold a degree in Computer Science, Data Science, or a related field with a minimum CGPA of 6.0 or equivalent. Must be from eligible batches: 2023, 2024, 2025, or 2026 . Must have 1–3 years of hands-on experience in AI development, including model training and deployment using Python and TensorFlow or PyTorch . Must have a portfolio or GitHub repository with at least two AI projects that include model training, evaluation, and deployment. Must have completed at least one internship or project involving AI / LLM agents or machine learning in a real-world context. Academic performance is not specified, but project quality and technical depth are critical for selection. Documentation & Portfolio Requirements Your resume must include a project summary with clear problem statements, model architecture, metrics (e.g., accuracy, F1-score), and deployment details using Python , TensorFlow , or PyTorch on Azure . For this role, prioritize showcasing a GitHub repository with a Python script that trains a TensorFlow or PyTorch model and deploys it on Azure — include performance metrics and error logs to demonstrate real-world shipping experience. Salary for AI Engineer 4A at Genpact 💰 Compensation Not Disclosed The advertised compensation for the AI Engineer 4A role at Genpact 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 AI Engineer 4A Upskilling with the right resources significantly enhances your chances of selection for the AI Engineer 4A role at Genpact . Recommended Courses & Resources Python — Essential for developing AI solutions and machine learning models. Azure — Crucial for deploying AI applications in a cloud environment. TensorFlow — Key framework for building and training machine learning models. PyTorch — Important for developing dynamic neural networks and AI models. KodNest — Provides hands-on experience with AI and machine learning projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating proficiency in Python — Ensure you include specific projects or experiences. ❌ Using a generic resume — Tailor it to the specific responsibilities and skills listed in the job description. ❌ Listing technologies without context — Detail where TensorFlow or PyTorch were applied in previous work. ❌ Ignoring the experience requirement — Ensure you meet the 1-3 years of experience specified. ❌ Adding unrelated technologies — Focus on relevant skills to avoid keyword stuffing. ❌ Failing to verify the official Apply URL — Always check the job details 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 AI Engineer 4A Optimizing your resume for ATS is crucial for standing out in the application process for the AI Engineer 4A role. ATS Keywords to Include Python Azure TensorFlow PyTorch AI LLM agents machine learning AI solutions development deployment collaboration performance monitoring Resume Tips for This Role Highlight your hands-on experience with Python , as it is a critical skill for this role. Emphasize familiarity with Azure and its application in deploying AI solutions. Showcase projects or experiences involving TensorFlow or PyTorch in developing machine learning models. Use exact keywords from the job description naturally to align with ATS requirements. Avoid including unsupported 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: Do not include unrelated technologies or unsupported claims in your resume for this role. How to Apply for AI Engineer 4A at Genpact Apply Now — Genpact 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 for the AI Engineer 4A role. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. 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 — Genpact NexisGrow.com does not charge any fees for job applications. Genpact Genpact is a technology solutions company specializing in AI and digital innovation. Based in Gurgaon, India, this AI Engineer 4A role operates in a hybrid work mode. The company delivers measurable outcomes through process intelligence and artificial intelligence, focusing on real-world business transformation. The team develops and deploys AI solutions using Python , TensorFlow , PyTorch , and LLM agents . They build machine learning models and agentic AI systems, working closely with engineers and business stakeholders to solve complex challenges. These efforts support scalable, real-world applications across industries. This role is part of Genpact 's AI Gigafactory, an initiative that scales advanced AI solutions. It enables early-career exposure to cutting-edge AI technologies, including large-scale models and agentic AI, within a collaborative, innovation-driven environment. This role offers early-career exposure to Python , Azure , TensorFlow , PyTin, AI, and LLM agents . Candidates gain hands-on experience with machine learning and AI deployment in real-world projects, building a strong technical foundation through practical, collaborative work. Company Details Industry Technology Location Gurgaon, India Connect With Us Careers Apply Now Website 🔗 genpact.wd108.myworkdayjobs.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 Key skills include Python, Azure, TensorFlow, PyTorch, AI, and LLM agents. ? 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 its applications in AI. 2. Familiarize yourself with Azure deployment processes. 3. Study TensorFlow and PyTorch frameworks. 4. Prepare examples of past AI projects. 5. Understand the role of AI in business transformation. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is hybrid, based in Gurgaon, India. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to advanced AI technologies and collaboration with engineers and business stakeholders. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Python, Azure, TensorFlow, and PyTorch, along with relevant project experiences. ? 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 in a hybrid work setting. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, as the experience requirement is 1-3 years. 🔗 Explore More on NexisGrow More jobs in Gurgaon Browse all Tech jobs Latest Fresher jobs More jobs at Genpact 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