📋 Job Details at a Glance 📍 Location Pune East, Maharashtra, India 🏢 Company Apex Group 👥 Experience 3-5 years 🎓 Qualification Bachelor’s degree in Computer Science, Engineering or a related field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹15–25 LPA (estimated) 🏢 Industry Technology 🛠 Key Skills Python Linux Kubernetes Docker PyTorch TensorFlow PyTorch DDP DeepSpeed Terraform Ansible AI Infrastructure Senior Associate – Agentic Engineer at Apex Group — Full Details & How to Apply Apex Group is seeking an AI Infrastructure Senior Associate – Agentic Engineer in Pune East, Maharashtra, India , where you can leverage cutting-edge tools like Kubernetes and AWS . This role offers a unique chance to shape AI infrastructure in a leading tech company. The demand for AI infrastructure roles is surging as companies increasingly rely on AI-driven solutions, making this position crucial for Apex Group 's growth. As organizations pivot towards advanced technologies, the need for skilled professionals in AI infrastructure is more pronounced than ever, positioning this role at the forefront of technological innovation. Apex Group , founded in 2003 , has over 1,000 employees globally and specializes in innovative technology solutions. The company’s focus on fostering a collaborative culture and investing in employee growth makes it an attractive employer for aspiring tech professionals. This role is ideal for 2023, 2024, 2025, 2026 graduates with a Bachelor’s degree in Computer Science, Engineering or a related field and 3-5 years experience . With a competitive salary of ₹15–25 LPA (estimated) , this position provides a solid foundation for your career in a high-demand field. In this role, you will gain hands-on experience with advanced tools such as Python, Linux, Kubernetes, Docker, PyTorch, TensorFlow, DeepSpeed, Terraform, Ansible, Pulumi, AWS, GCP, Azure, Lustre, and GPFS . This experience will not only enhance your skill set but also open doors to advanced career opportunities in AI and cloud infrastructure. 📊 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 AI Infrastructure Senior Associate – Agentic Engineer at Apex Group is tasked with designing and implementing robust AI training infrastructures that leverage AWS and Kubernetes for optimal resource allocation. Design and implement AI training infrastructure using AWS and Kubernetes to optimize resource allocation and enhance performance. Manage GPU clusters effectively, utilizing Docker and PyTorch for distributed training, ensuring high efficiency in model training. Collaborate with cross-functional teams, including Data Science and DevOps, to streamline AI deployment processes using Kubernetes . Monitor and analyze cloud costs, ensuring efficient resource usage and budget adherence through detailed reporting. Take ownership of infrastructure automation projects using Terraform and Ansible to enhance operational efficiency and reduce manual intervention. Document processes and communicate findings to stakeholders, ensuring clarity and alignment across teams for successful project execution. Troubleshoot performance issues in AI models, providing client-facing support to resolve technical challenges effectively. This role fosters an ownership culture, allowing you to directly impact the efficiency and effectiveness of AI infrastructure at Apex Group . Required Skills & Technical Competencies The ideal candidate will possess a strong technical skill profile, essential for developing and managing AI infrastructures effectively. Technical Skills Python — intermediate — essential for developing AI models and automating tasks within the infrastructure. Kubernetes — advanced — critical for managing containerized applications in a cloud environment, used daily for deployment. Linux — intermediate — foundational for system administration and server management, required for effective infrastructure setup. DeepSpeed — intermediate — important for optimizing distributed training processes, enhancing model performance significantly. PyTorch DDP — intermediate — utilized for distributed training, ensuring efficient resource usage and model training. Terraform — advanced — evaluated through practical assessments on infrastructure provisioning and automation. Ansible — intermediate — used for automating infrastructure management tasks, improving operational efficiency. 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 candidates with a solid educational background and relevant experience in technology. A bachelor’s degree in Computer Science , Engineering , or related fields is required. Eligible batches include 2023 to 2026 , allowing recent graduates to apply. 3-5 years of experience is preferred, but freshers with relevant internships or projects may also be considered. A minimum CGPA of 7.0 is expected to demonstrate academic competence in technical subjects. Having a portfolio or GitHub showcasing relevant projects can significantly enhance your application. Documentation & Portfolio Requirements Ensure your resume is clear and concise, including your educational background, relevant experience, and links to your portfolio or GitHub projects. Pro tip: Highlight specific projects where you utilized AWS , Kubernetes , or Terraform to demonstrate your hands-on experience in AI infrastructure. Salary for AI Infrastructure Senior Associate – Agentic Engineer at Apex Group 💰 Compensation ₹15–25 LPA (estimated) The advertised compensation for the AI Infrastructure Senior Associate – Agentic Engineer role at Apex Group is ₹15–25 LPA (estimated) . 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 Infrastructure Senior Associate – Agentic Engineer Upskilling with the right resources significantly enhances your chances of selection for this specialized role in AI infrastructure. Recommended Courses & Resources Python — Essential for developing AI models and automation scripts. Linux — Crucial for managing servers and cloud infrastructure. Kubernetes — Key for orchestrating containerized applications in cloud environments. Docker — Important for creating and managing application containers. KodNest — Useful for hands-on projects in AI and cloud 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 — Include specific skills mentioned in the job description. ❌ Overlooking relevant projects — Showcase internships or projects related to AI infrastructure. ❌ Neglecting company research — Understand Apex Group 's recent developments for interviews. ❌ Submitting a generic cover letter — Personalize it to address the role directly. ❌ Ignoring application deadlines — Set reminders to avoid missed opportunities. ❌ Not preparing for technical interviews — Practice coding challenges and system design questions. Before You Apply — Checklist ✅ Research Apex Group to understand its culture and recent developments before applying. ✅ Update your resume to reflect relevant skills and experiences tailored to the job description. ✅ Prepare a cover letter that highlights your interest in AI infrastructure and your fit for the role. ✅ Gather any necessary documents, such as transcripts or certificates, to support your application. ✅ Ensure your LinkedIn profile is up-to-date and reflects your technical skills and projects. ✅ Practice common interview questions related to AI and cloud technologies. ✅ Set reminders for application deadlines to ensure timely submission. ✅ Follow up on your application status after a week to express continued interest. Resume Tailoring & ATS Keywords for AI Infrastructure Senior Associate – Agentic Engineer Optimizing your resume for ATS is crucial to ensure it passes initial screenings for this technical role. ATS Keywords to Include AI Infrastructure Kubernetes Python Docker TensorFlow DeepSpeed Terraform Ansible AWS MLOps GPU Cluster Management Linux Resume Tips for This Role Highlight relevant technical skills such as Kubernetes and Python , as these are critical for the role. Emphasize any project experience related to AI infrastructure or cloud services to align with company needs. Include links to your portfolio or GitHub to showcase practical applications of your skills. Optimize for ATS by using keywords from the job description to ensure your resume passes initial screenings. Avoid including unrelated work experience that does not demonstrate your fit for this technical role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Do not include generic skills or experiences that do not relate to AI infrastructure or cloud technologies. How to Apply for AI Infrastructure Senior Associate – Agentic Engineer at Apex Group Apply Now — Apex Group Visit the application portal and create an account if you don't have one. Upload your resume, ensuring it is tailored to the job description. Fill out the application form accurately, highlighting your skills and experiences. After submission, you can expect a confirmation email regarding your application status. Track your application status through the portal for updates on the hiring process. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Apex Group NexisGrow.com does not charge any fees for job applications. Apex Group Apex Group was founded in 2003 and has expanded to over 1,000 employees . With its headquarters located in Pune, Maharashtra , the company has established a global presence across multiple countries, including the United States and Germany. This growth reflects its commitment to delivering innovative technology solutions worldwide. Specializing in AI-driven solutions and cloud services , Apex Group offers platforms such as Apex AI Suite and Apex Cloud Services . These products cater to various sectors, including finance, healthcare, and logistics, showcasing the company’s versatility in addressing diverse industry needs through advanced technology. The culture at Apex Group emphasizes collaboration and continuous learning. The company has received positive reviews on Glassdoor, highlighting its supportive environment and employee development programs. In 2022 , Apex Group was recognized with the Best Workplace Award for its commitment to fostering a positive workplace culture. Recently, Apex Group expanded its services in AI and cloud computing , reflecting its dedication to innovation. The company secured a significant investment in 2023 to enhance its machine learning capabilities, further solidifying its position as a leader in technology solutions. For freshers in technology, Apex Group offers unparalleled exposure to advanced technologies such as Kubernetes and TensorFlow . The mentorship from industry experts and hands-on experience with cutting-edge projects make it an ideal launchpad for a successful career in the tech industry. Company Details Industry Technology Location Pune East, Maharashtra, India Connect With Us Careers Apply Now Website 🔗 theapexgroup.wd3.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for AI Infrastructure Senior Associate – Agentic Engineer at Apex Group? Eligibility Tap to expand + Answer Candidates with Bachelor’s degree in Computer Science, Engineering or a related field 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, Linux, Kubernetes, Docker, PyTorch. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹15–25 LPA (estimated). Final offer depends on skills, experience, and interview performance. ? What is the interview process at Apex Group? 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, Linux, Kubernetes, Docker, PyTorch. ? 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 Infrastructure Senior Associate – Agentic Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Python, Linux, Kubernetes, Docker, PyTorch, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Apex Group research, (5) Clear communication. ? What is the work culture like at Apex Group? 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 East Browse all Tech jobs Latest Fresher jobs More jobs at Apex Group Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. 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