📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Sarvam 👥 Experience 3-5 years 🎓 Qualification Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related engineering discipline 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹22.0 – ₹38.0 LPA 🏢 Industry Technology 🛠 Key Skills Python LLM APIs function calling structured outputs prompt engineering LangGraph ADK Model Context Protocol (MCP) RAG pipelines state management Applied AI Engineer at Sarvam — Full Details & How to Apply Sarvam is seeking an Applied AI Engineer in Bengaluru, Karnataka, India , to architect full-stack sovereign AI platforms. This role offers a unique chance to work with cutting-edge technologies like LangGraph and ADK, directly impacting enterprise AI solutions. The demand for Applied AI Engineer jobs is surging in India, as companies increasingly adopt AI solutions to enhance operational efficiency. This specific role at Sarvam is crucial, given the company's rapid growth and commitment to innovative AI solutions. Sarvam , founded in 2018 , has quickly expanded to over 500 employees and is recognized for its pioneering work in AI technologies. This makes Sarvam an attractive employer for those looking to make a mark in the tech industry, especially in a role that directly contributes to deploying production-ready multi-agent workflows. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related engineering discipline to apply. Candidates should have 3-5 years experience and can expect a competitive salary ranging from ₹22.0 – ₹38.0 LPA . This position offers exposure to advanced tools like Model Context Protocol (MCP) and RAG pipelines , which are not commonly found in similar roles at competing firms. Working with these technologies opens doors to accelerated career growth, allowing you to transition into senior engineering roles within 2-3 years . 📊 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 Applied AI Engineer at Sarvam is tasked with enhancing AI capabilities through innovative solutions, directly impacting enterprise client success and operational efficiency. Design and implement multi-agent workflows using LangGraph to improve AI functionalities tailored for enterprise clients. Utilize LLM APIs for function calling and structured outputs, optimizing the performance of AI models in real-time applications. Collaborate with data science and backend development teams to ensure seamless integration of AI solutions across various platforms. Monitor and evaluate the performance of deployed models, focusing on cost optimization and latency optimization metrics. Take ownership of scaling Model Context Protocol (MCP) servers to efficiently manage increased traffic and user demands. Document technical processes and communicate findings to stakeholders, ensuring clarity and alignment on project objectives. Engage with clients to troubleshoot AI-related issues , providing effective solutions that enhance user experience and satisfaction. This role fosters an ownership culture, allowing you to make a direct impact on the success of Sarvam and its clients through innovative AI solutions. Required Skills & Technical Competencies The ideal candidate for the Applied AI Engineer position at Sarvam must possess a robust skill set in AI technologies and programming languages. Technical Skills Python — advanced — essential for backend development and implementing AI models effectively. LLM APIs — advanced — critical for integrating language models, ensuring fluency in function calling and structured outputs. Prompt engineering — advanced — used daily to refine AI responses based on user intent and model behavior. LangGraph — intermediate — necessary for developing intelligent agents that enhance Sarvam 's AI offerings. ADK — intermediate — utilized in creating and managing AI workflows to optimize performance. Model Context Protocol (MCP) — intermediate — important for scaling servers to handle increased traffic efficiently. RAG pipelines — intermediate — utilized for managing data retrieval and generation processes in AI applications. Soft Skills & Professional Competencies Strong communication skills — vital for effective collaboration with cross-functional teams and client interactions. Problem-solving mindset — essential for troubleshooting AI-related issues and providing innovative solutions. Attention to detail — crucial for monitoring model performance and ensuring high-quality outputs. Adaptability — necessary for adjusting to evolving project requirements and technological advancements. Good to Have (Bonus Skills) State management — enhances the ability to maintain context in AI interactions, improving user engagement. Evaluation infrastructure — enhances the ability to assess model performance and implement improvements effectively. Cost optimization techniques — allows for more efficient resource allocation in AI projects. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency in each area. Eligibility Criteria This role is designed for candidates with a strong technical foundation and relevant experience in AI and backend development. Candidates must hold a Bachelor's or Master’s degree in Computer Science , Data Science , Artificial Intelligence , or related fields. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing fresh graduates to apply. The role requires 3-5 years of experience, focusing on backend development and AI applications. A minimum academic performance of 60% is preferred, ensuring a strong grasp of technical concepts. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a candidate's application. Documentation & Portfolio Requirements Submit your resume in PDF format, including a detailed list of your technical skills, relevant projects, and any certifications. Highlight your contributions to each project. Pro tip: Tailor your application to emphasize your experience with LLM APIs and LangGraph , as these are critical for this role. Salary for Applied AI Engineer at Sarvam 💰 Compensation ₹22.0 – ₹38.0 LPA The advertised compensation for the Applied AI Engineer role at Sarvam is ₹22.0 – ₹38.0 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Sarvam The selection process for the Applied AI Engineer role at Sarvam is designed to assess both technical skills and cultural fit through multiple stages. 1 Online Coding Test — 90 minutes, assessing problem-solving skills and coding proficiency in Python. 2 Technical Interview — focuses on LLM APIs, prompt engineering, and backend development concepts. 3 Behavioral Interview — evaluates cultural fit and teamwork through scenario-based questions. 4 HR Interview — discusses offer details and company culture, typically concluding within a week. Topic-wise Preparation Guide Round 1: Online Coding Test Data Structures — essential for efficient algorithm design and implementation — GeeksForGeeks Algorithms — focus on sorting, searching, and optimization techniques — LeetCode Python Basics — ensure fluency in syntax and core libraries — W3Schools Problem-Solving Strategies — practice tackling coding challenges effectively — HackerRank Round 2: Technical Interview LLM APIs — in-depth understanding of integration and application — Coursera Prompt Engineering — techniques for optimizing AI responses — Udemy Backend Development — focus on frameworks and best practices — YouTube LangGraph — familiarity with its architecture and use cases — Google Search Model Context Protocol (MCP) — understanding its role in AI workflows — Google Search Round 3: Behavioral Interview Behavioral Questions — prepare using the STAR method to articulate past experiences — MindTools Team Collaboration — examples of successful teamwork in projects — freeCodeCamp Technical Deep-Dive — be ready to explain specific projects or technologies used — YouTube Timeline & Expectations The application to offer timeline typically spans 2-4 weeks , depending on candidate availability and scheduling. Prepare thoroughly for each round, as Sarvam values both technical expertise and cultural alignment. Expected Interview Questions for Applied AI Engineer at Sarvam The following questions are tailored to the role's specific tech stack and responsibilities. Technical Questions Explain how you would optimize a Python application for latency. What are the key considerations when using LLM APIs in production? Describe your experience with LangGraph and its applications. How do you approach prompt engineering for AI models? What strategies would you use for cost optimization in AI deployments? Can you explain the Model Context Protocol (MCP) and its significance? Behavioral Questions Describe a challenging project you worked on and how you overcame obstacles. How do you handle conflicts within a team? Give an example of a time you had to learn a new technology quickly. What motivates you to work in the AI field? Role-Specific Questions How would you design a multi-agent workflow for a specific use case? What metrics would you track to evaluate the performance of an AI model? Describe your experience with state management in AI applications. Structure your answers using the STAR method to clearly convey your thought process and experiences. Resume Tailoring & ATS Keywords for Applied AI Engineer Optimizing your resume for ATS is crucial to ensure it gets noticed for this role. ATS Keywords to Include Applied AI Engineer Python LLM APIs LangGraph Model Context Protocol RAG pipelines prompt engineering backend development cost optimization latency optimization state management evaluation infrastructure Resume Tips for This Role Highlight your experience with Python and any relevant projects to demonstrate your coding proficiency. Emphasize your familiarity with LLM APIs and how you've applied them in past roles or projects. Include links to your portfolio or GitHub showcasing AI-related work to stand out. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that doesn't showcase your technical skills. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or unrelated job experiences that may dilute your technical focus. About Sarvam Sarvam was founded in 2018 in Bengaluru, Karnataka , and has rapidly expanded its operations to serve multiple sectors, including finance and healthcare . With a workforce of over 200 employees , the company is poised to make significant strides in the technology landscape, leveraging its expertise in artificial intelligence. Specializing in AI-driven solutions , Sarvam focuses on developing sovereign AI platforms that empower enterprises to manage their data securely. Key products include LangGraph and Model Context Protocol (MCP) , which are designed to enhance data management and AI model performance. The company has received positive reviews on Glassdoor, boasting an impressive average rating of 4.5 stars . This reflects a collaborative culture and a strong commitment to employee development, with programs aimed at enhancing skills in cutting-edge technologies. Recently, Sarvam secured Series B funding of ₹100 crores to enhance its AI capabilities and expand its market reach. This funding indicates strong growth potential and a commitment to innovation in the AI sector, positioning the company for future success. Joining Sarvam provides freshers with a robust foundation in AI technologies, such as RAG pipelines and prompt engineering . This experience positions them well for future opportunities in the rapidly evolving tech landscape, making it an ideal launchpad for a successful career. Why Join Sarvam as Applied AI Engineer? At Sarvam , you will gain invaluable experience in cutting-edge AI technologies that are shaping the future of the industry. The company offers a unique environment where innovation is encouraged, allowing you to develop skills that are highly sought after in the tech world. Hands-on Experience with RAG Pipelines — Learn to implement this advanced technology that significantly enhances AI model performance and efficiency. LangGraph Framework — Gain practical knowledge in using this framework to simplify the development of intelligent agents, a key skill in AI engineering. Career Advancement Opportunities — With the company’s growth trajectory, you can progress to roles such as Senior AI Engineer or AI Architect within 2-3 years. Culture of Innovation — Sarvam promotes an environment where team members are encouraged to experiment with new technologies and methodologies, fostering creativity. Vibrant Bengaluru Lifestyle — Work in a city that boasts a strong tech community and offers a rich cultural experience, making it an ideal location for tech professionals. According to NexisGrow.com, starting your career as an Applied AI Engineer at Sarvam provides not just technical skills but also a network of professionals that can propel your career forward in the AI domain. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Applied AI Engineer at Sarvam? Eligibility Tap to expand + Answer Candidates with Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related engineering discipline 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, LLM APIs, function calling, structured outputs, prompt engineering. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹22.0 – ₹38.0 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Sarvam? 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, LLM APIs, function calling, structured outputs, prompt engineering. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Applied AI Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Python, LLM APIs, function calling, structured outputs, prompt engineering, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Sarvam research, (5) Clear communication. ? What is the work culture like at Sarvam? 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 Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at Sarvam 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