Nagarro is hiring an experienced AI Agent Engineer for a remote opportunity in India. The role is focused on building autonomous AI agents, LLM-powered applications, agent workflows, API integrations and production-ready AI systems. π€π
π Job Details
π’ Company: Nagarro
πΌ Role: AI Agent Engineer
π Location: Remote β India
π§βπ» Experience: Experienced professionals
π Primary Programming: Python, Java
π€ AI: LLM Applications, AI Agents, Prompt Engineering
π Frameworks: LangChain, LangGraph
βοΈ Cloud: Microsoft Azure AI & Machine Learning
π Integration: APIs, Databases, SaaS Platforms
ποΈ Architecture: Distributed Systems, Async Processing, Scalable Architecture
π Deployment: Cloud-Native, CI/CD, Monitoring & Observability
π© Contact: akanksha.tiwari01@nagarro.com
π’ About Nagarro
Nagarro is a global digital engineering and technology company focused on helping organizations build and transform digital products, platforms and enterprise technology. The company says it operates across 39 countries with more than 18,700 colleagues, combining engineering, AI and enterprise expertise.
π― Why This Role Is Good for Experienced Professionals
This role goes beyond simply calling an LLM API. The JD combines agent architecture, orchestration, backend engineering, cloud deployment, API integration, observability and production optimization. π‘
Engineers can strengthen their experience in designing agents capable of multi-step reasoning, tool usage and decision-making while connecting them to real enterprise systems such as databases, APIs and SaaS platforms.
The role also combines AI engineering with traditional software engineering. Strong Python and Java skills, asynchronous processing, distributed systems and scalable architecture are important because production AI applications need reliable backend infrastructure in addition to good prompts.
π€ Key Responsibilities
πΉ Design and develop autonomous AI agents capable of multi-step reasoning and decision-making.
πΉ Build agent workflows using LangChain, LangGraph and modern LLM frameworks.
πΉ Integrate agents with APIs, databases and SaaS platforms.
πΉ Design prompt-engineering strategies, memory architectures and tool-use systems.
πΉ Deploy, monitor and maintain production AI agents.
πΉ Optimize latency, inference cost, reliability and overall agent performance.
πΉ Develop scalable backend services using Python and Java.
πΉ Collaborate with product, engineering and data teams.
π§ Skills Required
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Python: Strong backend and AI/ML application development.
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Java: Strong understanding of backend services and enterprise application development.
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LLM Applications: RAG, function/tool calling, structured outputs, evaluation and model integration.
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LangChain/LangGraph: Agent orchestration, state management, tools and multi-step workflows.
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Azure AI/ML: Azure-based model deployment, AI services and machine-learning workflows.
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API Development: REST APIs, authentication, error handling and third-party integrations.
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Prompt Engineering: Designing reliable prompts, system instructions and structured interactions.
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Memory Architecture: Short-term/long-term context strategies and state management.
β Additional Advantage: Async programming, distributed systems, Docker/Kubernetes, CI/CD, observability, GitHub Copilot, Claude and system design.
π€ Expected Nagarro Interview Rounds
Round 1 β Recruiter/Initial Screening π
Expect discussion around your experience, current role, AI projects, notice period, remote-work suitability and compensation expectations.
Round 2 β AI/Backend Technical Interview π€
Prepare for Python, Java, APIs, LLM architecture, RAG, prompt engineering, agent workflows and your previous AI projects.
Round 3 β System Design / AI Architecture ποΈ
You may be asked to design an AI agent platform involving tools, memory, APIs, databases, authentication, queues, monitoring and failure handling.
Round 4 β Project/Client Discussion π€
Be ready to explain architectural decisions, production challenges, stakeholder communication and how you measure AI-system quality.
Round 5 β HR/Final Discussion π
This may cover compensation, availability, remote working and other employment-related details.
π° Salary Range
The supplied hiring post does not specify an official salary range for this AI Agent Engineer position. Third-party data shows substantial variation by Nagarro level. Glassdoor currently reports approximately βΉ9β17 LPA for Senior Engineer, βΉ9β20 LPA for Senior Software Engineer, and βΉ20β32 LPA for Staff Engineer in India.
Levels.fyi reports Nagarro Software Engineer compensation in India ranging from approximately βΉ19.2 LPA for Associate Software Engineer to βΉ42.9 LPA for Senior Staff Software Engineer, with a reported median around βΉ28.7 LPA across its dataset.
π Preparation Tips
π₯ 1. Build a Real Agent: Create a small LangGraph/LangChain agent that can call tools, maintain state and complete a multi-step task. Be prepared to explain the architecture.
π₯ 2. Master RAG: Understand embeddings, chunking, vector databases, retrieval, reranking, context limits and hallucination mitigation.
π₯ 3. Study Agent Memory: Know the difference between conversation history, session state, persistent memory and external knowledge.
π₯ 4. Prepare Tool Calling: Practice connecting an LLM agent to APIs, databases and custom Python tools with validation and error handling.
π₯ 5. Learn Agent Evaluation: Prepare metrics and approaches for accuracy, task completion, latency, cost, tool-call reliability and hallucination detection.
π₯ 6. Revise Azure AI/ML: Understand how you would deploy and monitor an LLM-based application using Azure services.
π₯ 7. Practice Production Design: Design an architecture with API gateways, async workers, queues, caching, databases, observability and CI/CD.
π Resume Tips
Your resume should immediately communicate AI Agent + Backend Engineering expertise. π Put Python, Java, Azure AI/ML, LangChain, LangGraph, LLM applications, APIs and distributed systems prominently in your technical-skills section.
π Mention production deployment, monitoring, CI/CD and cloud experience wherever applicable.
π Include GitHub/project links for meaningful AI-agent projects.
π Clearly describe your architecture rather than listing dozens of AI tools.
π Highlight measurable improvements in latency, cost, reliability or task completion whenever you have genuine metrics.
π© How to Apply
π§ akanksha.tiwari01@nagarro.com
Interested professionals can share their updated resume with:
π§ akanksha.tiwari01@nagarro.com
Candidates should tailor the resume specifically toward AI agent development, Python/Java backend engineering, Azure AI/ML, API integration and production deployment before contacting the recruiter.
You can also check Nagarro’s official India careers portal for relevant openings and current vacancies.
π Final Takeaway
The Nagarro AI Agent Engineer opportunity combines modern Generative AI with serious backend and cloud engineering. The strongest preparation areas for this JD are LangChain/LangGraph, agent architecture, RAG, tool calling, memory, Azure AI/ML, Python/Java, distributed systems and production observability. π€βοΈ
