📋 Job Details at a Glance 📍 Location Bengaluru, Mumbai, Gurgaon 🏢 Company Fractal Analytics 👥 Experience 5-8 years 🎓 Qualification 5–8 years. Hands-on with React, Azure, APIs, 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 React Azure APIs AI LLM agents machine learning deep learning large language models GenAI-Engineer at Fractal Analytics — Full Details & How to Apply Fractal Analytics is seeking a GenAI-Engineer with hands-on experience in large language models (LLMs) and AI / LLM agents across Bengaluru, Mumbai, Gurgaon . This role is part of GenAI-Engineer jobs in the technology sector, where candidates will design and implement advanced AI solutions using real-world technologies. The position supports end-to-end AI solution delivery with ownership of initiatives and minimal supervision. It is available for Bengaluru, Mumbai, Gurgaon jobs under a hybrid work mode. The GenAI-Engineer role directly contributes to building scalable AI capabilities by leveraging technologies such as React , Azure , and APIs . Candidates will be responsible for implementing solutions using machine learning and deep learning frameworks, with a focus on LLM agents . These responsibilities ensure that AI features are developed and shipped in production environments, reflecting a strong emphasis on practical, deployed outcomes. Fractal Analytics specializes in technology solutions and is currently recruiting for this role through its official channels. The company values technical depth and demonstrated shipping experience in AI and LLM systems. This position is part of Fractal Analytics recruitment for experienced engineers in key Indian tech hubs. 2023, 2024, 2025, 2026 graduates are eligible. Candidates must have 5–8 years. Hands-on with React, Azure, APIs, AI / LLM agents. Relevant technical qualification and demonstrated shipping experience . The role requires 5-8 years experience and offers a salary that is Not Disclosed . This is a non-fresher-friendly role with a strong technical foundation required. Applicants will gain hands-on experience with React , Azure , APIs , machine learning , deep learning , and large language models . This role provides a pathway to deeper AI engineering roles, with potential progression into AI product ownership and system architecture. The technical exposure directly strengthens capabilities in AI-driven software development. 📊 Role Difficulty: Medium | Competition Level: High | 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. This is a GenAI-Engineer jobs listing in Bengaluru, Mumbai, Gurgaon jobs under Fractal Analytics recruitment . Job Role & Responsibilities The GenAI-Engineer at Fractal Analytics designs and deploys large language model (LLM) agents to power real-time AI-driven decision systems, directly improving model accuracy and response latency in production environments. Design and implement advanced solutions using large language models to enhance AI capabilities in customer service and predictive analytics workflows. Develop machine learning models using deep learning techniques and train them with large language models on domain-specific datasets to improve contextual understanding. Collaborate with backend and frontend teams to align AI solutions with business KPIs such as conversion rate and response time using APIs . Build and maintain reusable code libraries in React to enable rapid development of AI-powered dashboards and interactive UIs. Take ownership of codebases by conducting regular code reviews in React and Azure environments to ensure maintainability and security. Document model training pipelines and deployment workflows for internal reporting, including metrics like F1 score and inference time in AI and LLM agents systems. Debug and resolve performance bottlenecks in LLM agents and machine learning models using Azure monitoring tools and error logs. Optimize model inference pipelines using APIs and Azure services to reduce latency by at least 20% in production environments. This role demands direct ownership of AI codebases and measurable impact on model performance, reliability, and scalability in live systems using React , Azure , and LLM agents technologies. Required Skills & Technical Competencies The role requires a strong technical foundation in AI and cloud-based development, with hands-on experience in building and deploying AI models using modern frameworks and tools. Technical Skills React — intermediate — used to build responsive, interactive user interfaces that interface with LLM agents and display real-time AI outputs. Azure — advanced — used for deploying and managing scalable AI workloads, including model serving and container orchestration via AI services and cloud storage . APIs — intermediate — used to integrate machine learning models with backend systems and enable cross-service communication in production environments. AI — advanced — applied to design intelligent systems that interpret user inputs and generate actionable outputs using large language models . LLM agents — advanced — leveraged to create autonomous AI components that perform tasks such as summarization, retrieval, and decision-making in business workflows. Machine learning — advanced — used to develop and evaluate models for classification, regression, and anomaly detection in real-world datasets. Deep learning — advanced — applied to fine-tune large language models using frameworks like PyTorch or TensorFlow for domain-specific performance. When showcasing these skills, emphasize specific projects where you trained deep learning models, deployed them on Azure , and integrated them via APIs using React UIs. Eligibility Criteria This role is designed for candidates with a technical degree and 5–8 years of hands-on experience in AI and cloud development, particularly in React , Azure , and LLM agents environments. Must hold a relevant technical qualification such as a B.Tech, M.Tech, or M.Sc. in Computer Science, AI, or a related field. Must be from eligible batches: 2023, 2024, 2025, or 2026 . Must have at least 5 years of professional experience in AI, machine learning , or software development with React and Azure . CGPA or academic performance is not specified, but a strong technical background is essential. Must have demonstrated experience in building and deploying AI models, including LLM agents or deep learning systems in projects or internships. Portfolio must include at least two working AI applications with React UIs and Azure -based backend deployment. Documentation & Portfolio Requirements Your resume must include a clear project section with technical details such as model architecture, APIs used, Azure deployment steps, and performance metrics like accuracy or inference time. For this role, prioritize including a portfolio that shows end-to-end deployment of an LLM agent using React and Azure , with measurable performance improvements in response time or accuracy. Salary for GenAI-Engineer at Fractal Analytics 💰 Compensation Not Disclosed The advertised compensation for the GenAI-Engineer role at Fractal Analytics 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-Engineer Upskilling with the right resources significantly enhances your chances of selection for the GenAI-Engineer role, equipping you with the necessary skills and knowledge. Recommended Courses & Resources React — Mastering React is essential for developing user interfaces in AI applications. Azure — Proficiency in Azure is crucial for deploying AI solutions effectively. APIs — Understanding APIs is vital for integrating various AI services and functionalities. machine learning — A solid foundation in machine learning is necessary for building intelligent systems. KodNest — This resource offers practical insights into AI and LLM technologies. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience in AI or LLM technologies — ensure to provide specific examples. ❌ Using a generic resume — tailor it to highlight relevant experience in machine learning and deep learning . ❌ Listing technologies like React or Azure without context — explain how they were applied in previous roles. ❌ Ignoring the specified experience requirement of 5-8 years — this is crucial for eligibility. ❌ Adding unrelated skills or unsupported claims — this may backfire with ATS. ❌ Failing to verify the official Apply URL — always check job details before submitting. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the 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-Engineer Optimizing your resume for ATS is crucial for securing the GenAI-Engineer role, ensuring your application is seen by hiring managers. ATS Keywords to Include GenAI React Azure APIs AI LLM agents machine learning deep learning large language models model building code reviews collaboration Resume Tips for This Role Highlight your hands-on experience with AI and LLM technologies prominently on your resume. Emphasize your proficiency in React and Azure , as these are critical for the role's responsibilities. Showcase any relevant projects or experiences involving machine learning or deep learning frameworks. Use exact keywords from the job description naturally to align with ATS requirements. Avoid including unsupported technologies or experiences that you cannot substantiate. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated skills or unsupported claims in your resume for this role. How to Apply for GenAI-Engineer at Fractal Analytics Apply Now — Fractal Analytics Open the official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualifications, and experience requirements. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — Fractal Analytics NexisGrow.com does not charge any fees for job applications. Fractal Analytics Fractal Analytics is a technology company operating in Bengaluru, Mumbai, and Gurgaon. It offers a hybrid work mode and focuses on AI-driven solutions. The GenAI-Engineer role is part of a team that builds advanced AI systems using modern technologies. The team designs and implements solutions using large language models , machine learning , and deep learning . They develop end-to-end AI applications, build reusable tools, and collaborate with engineers and business stakeholders to align AI with real-world goals. This role provides early-career exposure to hands-on GenAI technologies including LLM agents , APIs , and AI frameworks. Candidates gain practical experience in model training, fine-tuning, and full lifecycle development in a collaborative environment. Company Details Industry Technology Location Bengaluru, Mumbai, Gurgaon Connect With Us Careers Apply Now Website 🔗 fractal.wd1.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 5-8 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 React, Azure, APIs, AI, LLM agents, machine learning, and deep learning. ? 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 AI and LLM technologies. 2. Brush up on React and Azure. 3. Prepare examples of past projects. 4. Understand machine learning frameworks. 5. Familiarize yourself with the company's focus. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer The work mode is hybrid, allowing for both remote and onsite work. ? What career exposure can this role provide? Growth Tap to expand + Answer The role offers exposure to advanced AI technologies and responsibilities in model building and implementation. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in React, Azure, AI, LLM technologies, and relevant project experience. ? 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 cross-functional teams, including engineers and business stakeholders. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, the role requires 5-8 years of experience. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at Fractal Analytics Work From Home jobs Ready to Apply? 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