📋 Job Details at a Glance 📍 Location Remote — India 🏢 Company Nagarro 👥 Experience 5.5+ years 🎓 Qualification Bachelor’s / Master’s degree in Computer Science, IT, Engineering, or a related technical discipline 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹25–40 LPA 🏢 Industry Technology 🛠 Key Skills Python FastAPI LLMs RAG LangGraph CrewAI AI Agents MCP Vector Databases Azure OpenAI Staff Engineer – Generative AI Engineer at Nagarro — Full Details & How to Apply Nagarro is seeking a Staff Engineer – Generative AI Engineer to lead innovative AI projects in a Remote — India setting. With a competitive salary range of ₹25–40 LPA , this role offers significant career growth in advanced technology. The demand for Staff Engineer – Generative AI Engineer jobs is surging as companies increasingly adopt AI solutions to enhance productivity and innovation. This role is pivotal in shaping how businesses leverage AI for efficiency, particularly through the development of scalable AI agents and LLM pipelines. What sets Nagarro apart is its impressive global footprint, with over 8,000 employees across 25 countries . Founded in 1996 , Nagarro has established itself as a leader in technology solutions, fostering a culture that encourages innovation and collaboration, making it an ideal employer for this role. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s / Master’s degree in Computer Science, IT, Engineering, or a related technical discipline and 5.5+ years experience to apply. This position not only offers a competitive salary of ₹25–40 LPA but also provides freshers with a robust career trajectory. In this role, you will work with advanced technologies such as Python , FastAPI , LLMs , RAG , LangGraph , CrewAI , AI Agents , MCP , Vector Databases , Azure OpenAI , AWS Bedrock , Docker , and Kubernetes . This exposure will set you apart in the competitive tech landscape and open doors to leadership opportunities in AI projects. 📊 Role Difficulty: Medium | Competition Level: High | 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 Staff Engineer – Generative AI Engineer at Nagarro is to design and implement advanced AI solutions that meet specific business needs through innovative technologies. Design and implement production-grade AI agents using Python and FastAPI , ensuring high performance and scalability in AI applications. Architect and build RAG and LLM pipelines, leveraging Azure OpenAI and AWS Bedrock for optimal results in AI model deployment. Collaborate with cross-functional teams, including data scientists and product managers, to align AI solutions with business needs and enhance project outcomes. Monitor and analyze system performance metrics to ensure reliability and efficiency of AI services, utilizing tools like Docker and Kubernetes . Take ownership of project timelines and deliverables, driving initiatives from conception to deployment while maintaining high standards. Document technical processes and communicate findings to stakeholders, ensuring clarity and alignment throughout the project lifecycle. Engage with clients to understand their needs and provide tailored AI solutions, enhancing customer satisfaction and project relevance. At Nagarro , we foster an ownership culture where your contributions directly impact the success of AI initiatives and client satisfaction. Required Skills & Technical Competencies The ideal candidate for the Staff Engineer – Generative AI Engineer role must possess a robust technical skill set tailored to AI development and deployment. Technical Skills Python — advanced — essential for developing AI applications and handling complex algorithms effectively. FastAPI — advanced — crucial for building APIs that serve AI models, enabling efficient data handling and processing. LLMs — intermediate — understanding large language models is vital for creating intelligent applications that generate human-like text. RAG — intermediate — necessary for architecting pipelines that enhance AI model performance and data retrieval. Vector Databases — intermediate — important for managing and retrieving high-dimensional data efficiently in AI applications. Azure OpenAI — intermediate — used for deploying AI models in a cloud environment, ensuring scalability and performance. AWS Bedrock — intermediate — utilized for building and deploying generative AI applications in a cloud infrastructure. Docker — intermediate — important for containerizing AI applications, ensuring consistency across development and production environments. Kubernetes — intermediate — essential for orchestrating containerized applications, facilitating scalability and management of AI services. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in AI development. Eligibility Criteria This role is designed for candidates with a strong technical foundation and relevant experience in AI and software development. Candidates must hold a Bachelor’s or Master’s degree in Computer Science , IT , Engineering , or related fields. Eligible batches include 2023 to 2026 , allowing recent graduates to apply and kickstart their careers in AI. The experience requirement is 5.5+ years, tailored for those with a solid background in AI and software development. A minimum academic performance of 60% is preferred, reflecting a commitment to excellence in technical studies. Having a portfolio or GitHub showcasing relevant projects will provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is clear and concise, including relevant projects, skills, and experiences that align with the role's requirements. Pro tip: Highlight specific projects on your GitHub that demonstrate your expertise in Python , FastAPI , and other key technologies relevant to this role. Salary for Staff Engineer – Generative AI Engineer at Nagarro 💰 Compensation ₹25–40 LPA The advertised compensation for the Staff Engineer – Generative AI Engineer role at Nagarro is ₹25–40 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 Staff Engineer – Generative AI Engineer Upskilling with the right resources significantly enhances your chances of selection for this specialized role in AI engineering. Recommended Courses & Resources Python — Essential for developing AI applications and algorithms. CrewAI — Provides insights into collaborative AI development practices. Azure OpenAI — Familiarizes you with deploying AI models on Azure. Docker — Crucial for containerizing applications in AI projects. KodNest — Enhances coding skills relevant to AI and machine learning. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume to highlight relevant skills and experiences specific to AI roles — Customize your resume for the job. ❌ Neglecting to showcase practical projects or contributions to open-source AI initiatives — Include relevant projects in your application. ❌ Overlooking the importance of clear documentation of technical processes in your application — Document your work clearly. ❌ Submitting a generic cover letter without addressing the specific role and company — Personalize your cover letter. ❌ Underestimating the value of networking within the AI community for job referrals — Engage with professionals in the field. ❌ Ignoring the significance of continuous learning in the rapidly evolving AI landscape — Stay updated with the latest trends. Before You Apply — Checklist ✅ Research Nagarro 's recent projects and technologies to tailor your application. ✅ Update your resume to reflect relevant skills and experiences in AI. ✅ Prepare a cover letter that specifically addresses why you are a fit for this role. ✅ Gather any necessary documents, such as transcripts or certifications. ✅ Ensure your GitHub or portfolio is up-to-date with your latest projects. ✅ Double-check the application portal for any specific submission guidelines. ✅ 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 Staff Engineer – Generative AI Engineer Optimizing your resume for ATS is crucial to ensure it gets noticed for this technical role. ATS Keywords to Include Generative AI Staff Engineer Python FastAPI LLMs RAG LangGraph CrewAI Vector Databases Azure OpenAI AWS Bedrock Docker Resume Tips for This Role Highlight your experience with Python and FastAPI , as these are critical for the role. Emphasize any projects or internships related to AI, showcasing your practical skills. Include links to your GitHub or portfolio to demonstrate your technical capabilities. Optimize your resume for ATS by using relevant keywords from the job description. Avoid including unrelated work experience that does not pertain to the 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 directly relate to AI engineering. How to Apply for Staff Engineer – Generative AI Engineer at Nagarro Apply Now — Nagarro Visit the Nagarro job portal and locate the Staff Engineer – Generative AI Engineer listing. Prepare your resume, ensuring it highlights relevant skills and experiences specific to AI. Fill out the application form accurately, paying attention to detail. After submission, expect a confirmation email and keep an eye on your inbox for further communication. Use the application tracking feature on the portal to monitor your application status. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Nagarro NexisGrow.com does not charge any fees for job applications. Nagarro Nagarro was founded in 1996 and has since expanded to over 8,000 employees . With its headquarters located in Munich , the company operates in 25 countries , showcasing its extensive global footprint and leadership in the technology sector. The company specializes in innovative software solutions, particularly in areas such as AI , cloud computing , and digital transformation services . Notable products include LangGraph and CrewAI , which enhance its offerings in generative AI and advanced analytics. Nagarro has received high ratings on platforms like Glassdoor, reflecting its employee-friendly culture. The company emphasizes flexibility and work-life balance, earning accolades for its supportive environment and various employee programs that promote professional growth. Recently, Nagarro has expanded its AI capabilities by integrating technologies such as RAG and Vector Databases into its service offerings. This strategic move highlights the company's commitment to staying at the forefront of technological advancements. Nagarro serves as a strong career launchpad for freshers in technology, offering hands-on experience with cutting-edge tools like Azure OpenAI and AWS Bedrock . The company provides a clear path for professional development, making it an ideal place for new talent to grow. Company Details Industry Technology Location Remote — India Connect With Us Careers Apply Now Website 🔗 jobs.smartrecruiters.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Staff Engineer – Generative AI Engineer at Nagarro? Eligibility Tap to expand + Answer Candidates with Bachelor’s / Master’s degree in Computer Science, IT, Engineering, or a related technical discipline and 5.5+ 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, FastAPI, LLMs, RAG, LangGraph. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹25–40 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Nagarro? 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, FastAPI, 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 Staff Engineer – Generative AI Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Python, FastAPI, LLMs, RAG, LangGraph, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Nagarro research, (5) Clear communication. ? What is the work culture like at Nagarro? 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 Remote — India Browse all Tech jobs Latest Fresher jobs More jobs at Nagarro 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