📋 Job Details at a Glance 📍 Location Pune, Maharashtra, India 🏢 Company Capgemini 👥 Experience 3-5 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹15–25 LPA 🏢 Industry Technology 🛠 Key Skills Python TypeScript LLMs RAG LangGraph CrewAI AWS Azure GCP AI Engineer at Capgemini — Full Details & How to Apply Capgemini is seeking an AI Engineer in Pune, Maharashtra, India , where you can leverage your skills in Python and LLMs to contribute to innovative projects. With a salary range of ₹15–25 LPA , this role offers a significant career boost for freshers. The demand for AI Engineer jobs is surging in India, with companies like Capgemini leading the charge in AI-driven solutions. This specific role is critical as businesses increasingly rely on advanced technologies to enhance efficiency and drive growth, making your contributions vital to future innovations. Capgemini , founded in 1967 , employs over 300,000 professionals globally, providing a robust platform for career growth and exposure to diverse projects. The company’s focus on fostering a collaborative culture and investing in cutting-edge technologies sets it apart in the tech industry, making Capgemini recruitment a sought-after opportunity. We encourage 2023, 2024, 2025, 2026 graduates with a qualification of Any Graduate and 3-5 years experience to apply. This role not only offers a competitive salary of ₹15–25 LPA but also positions you at the forefront of AI technology. As an AI Engineer , you will work with advanced technologies like LangGraph and CrewAI , which are not commonly found in entry-level positions at competing firms. This exposure will open doors to various career paths in AI and machine learning, enhancing your professional trajectory in a rapidly evolving 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 AI Engineer role at Capgemini is to develop innovative AI solutions that address complex business challenges, leveraging cutting-edge technologies and frameworks. Develop and implement AI models using Python and TypeScript to solve intricate business problems effectively. Utilize LLMs and RAG frameworks to enhance the performance and accuracy of AI applications. Collaborate with cross-functional teams, including data scientists and software engineers, to deliver integrated AI solutions. Analyze performance metrics to optimize AI algorithms and improve user experience through data-driven insights. Take ownership of project deliverables, ensuring timely and quality completion of all tasks. Document technical specifications and communicate project updates to stakeholders using clear and concise language. Engage with clients to understand their needs and provide tailored AI solutions that meet specific requirements. At Capgemini , you will have the opportunity to take ownership of your projects, directly impacting the success of AI initiatives and client satisfaction. Required Skills & Technical Competencies The ideal candidate for the AI Engineer position must possess a robust technical skill set to effectively develop and implement AI solutions. Technical Skills Python — advanced — essential for developing AI models, requiring proficiency in libraries like TensorFlow or PyTorch. TypeScript — intermediate — used for building scalable applications, crucial for integrating AI solutions into existing systems. LLMs — intermediate — knowledge of large language models is vital for creating advanced AI functionalities. RAG — intermediate — familiarity with retrieval-augmented generation techniques to enhance AI responses. AWS — intermediate — experience with cloud platforms is necessary for deploying AI solutions effectively. Azure — intermediate — utilized for managing cloud resources and deploying AI applications seamlessly. GCP — intermediate — essential for leveraging cloud services to enhance AI model performance. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for graduates with a strong technical foundation and relevant experience in AI development. Any graduate is eligible, with a focus on degrees in Computer Science, Engineering, or related fields. Candidates from the 2023 , 2024 , 2025 , and 2026 batches are encouraged to apply. The role requires 3-5 years of experience, but freshers with relevant internships or projects can also be considered. A minimum academic performance of 60% is preferred to ensure a solid understanding of technical concepts. Having a portfolio or GitHub showcasing relevant projects can significantly enhance your application. Documentation & Portfolio Requirements Ensure your resume is well-structured, highlighting your technical skills and relevant projects. Include links to your portfolio or GitHub for easy access to your work. Pro tip: Tailor your application to highlight specific experiences with Python and LLMs to stand out in the selection process. Salary for AI Engineer at Capgemini 💰 Compensation ₹15–25 LPA The advertised compensation for the AI Engineer role at Capgemini is ₹15–25 LPA . 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 Upskilling with the right resources significantly enhances your chances of selection for the AI Engineer role at Capgemini . Recommended Courses & Resources Python — Essential for developing AI models and algorithms. TypeScript — Important for building scalable applications in AI projects. AWS — Key for deploying AI solutions in cloud environments. Azure — Useful for leveraging Microsoft’s cloud services for AI. KodNest — Provides hands-on experience with AI technologies. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Highlight relevant skills and experiences specific to AI engineering. ❌ Neglecting practical applications — Showcase projects or internships demonstrating your skills. ❌ Using generic language — Reflect the specific requirements of the job description. ❌ Overlooking measurable achievements — Include quantifiable results from previous roles. ❌ Not preparing for technical interviews — Practice coding challenges and AI-related questions. ❌ Submitting applications without proofreading — Check for errors or inconsistencies before sending. Before You Apply — Checklist ✅ Research Capgemini 's recent projects and initiatives to tailor your application. ✅ Update your resume to reflect relevant skills and experiences. ✅ Prepare a portfolio showcasing your AI-related projects or contributions. ✅ Ensure your LinkedIn profile is aligned with your resume for consistency. ✅ Practice common interview questions related to AI and technical skills. ✅ Gather references or recommendations from previous internships or projects. ✅ Double-check the application deadline and ensure timely submission. ✅ Follow up on your application status after submission. Resume Tailoring & ATS Keywords for AI Engineer Optimizing your resume for ATS is crucial for securing an interview for the AI Engineer role at Capgemini . ATS Keywords to Include AI Engineer Python TypeScript LLMs RAG LangGraph CrewAI AWS Azure GCP Full Time Capgemini Resume Tips for This Role Highlight your proficiency in Python and TypeScript , as these are crucial for the role. Emphasize any relevant projects or internships that demonstrate your experience with AI technologies. Include a link to your portfolio or GitHub to showcase your coding skills and projects. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not demonstrate your fit for the AI Engineer role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Do not include generic job descriptions that do not relate to the specific requirements of the AI Engineer position. How to Apply for AI Engineer at Capgemini Apply Now — Capgemini Visit the application portal and create an account to start your application. Upload your resume, ensuring it highlights relevant skills and experiences. Fill out the application form accurately, providing all required information. After submission, expect a confirmation email regarding your application status. You can track your application progress through the portal. Applications reviewed on rolling basis — early submission recommended. Apply Now — Capgemini NexisGrow.com does not charge any fees for job applications. Capgemini Capgemini was founded in 1967 and has expanded to become a global leader in consulting, technology services, and digital transformation, operating in over 50 countries . With its headquarters in Pune, Maharashtra , the company employs over 300,000 professionals worldwide, showcasing its extensive reach and influence in the technology sector. Specializing in AI and cloud services, Capgemini offers innovative solutions such as AWS , Azure , and GCP to help clients optimize their operations. The company also leverages advanced technologies like LangGraph and CrewAI , ensuring that clients benefit from cutting-edge tools and platforms tailored to their specific needs. Recognized for its strong company culture, Capgemini has been ranked among the top 25 companies to work for on Glassdoor, reflecting its dedication to employee satisfaction. The company invests significantly in employee development programs, fostering a supportive environment that encourages continuous learning and growth. Recently, Capgemini announced a strategic partnership with Google Cloud to enhance its AI capabilities, demonstrating its commitment to innovation. This collaboration aims to integrate advanced AI solutions into its service offerings, further solidifying its position as a leader in technology services. For freshers in technology, Capgemini presents a robust career launchpad, offering opportunities to work on cutting-edge projects with a diverse global client base. The company's focus on mentorship and skill development equips new employees with the tools necessary to thrive in the technology landscape. Company Details Industry Technology Location Pune, Maharashtra, India Connect With Us Careers Apply Now Website 🔗 jobs.workable.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for AI Engineer at Capgemini? Eligibility Tap to expand + Answer Candidates with Any Graduate and 3-5 years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, TypeScript, LLMs, RAG, LangGraph. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹15–25 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Capgemini? 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, TypeScript, LLMs, RAG, LangGraph. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the AI Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Python, TypeScript, LLMs, RAG, LangGraph, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Capgemini research, (5) Clear communication. ? What is the work culture like at Capgemini? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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