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    Home/Jobs/Senior Staff Engineer (AI Developer InfraSec Automation)

    Senior Staff Engineer (AI Developer InfraSec Automation)

    Nagarro

    South Asia
    7+ years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    LangChain
    LlamaIndex
    OpenAI
    Azure OpenAI
    Anthropic
    RAGAS
    Python
    FastAPI
    Flask
    Vertex AI
    Java
    HTML
    CSS
    JavaScript

    Description

    We are looking for a Senior Staff Engineer (AI Developer InfraSec Automation) to join our team. The ideal candidate will have strong experience in software engineering, AI/ML development, or applied AI, including experience in building production-grade LLM-based applications.

    Company: Nagarro

    Role: Senior Staff Engineer (AI Developer InfraSec Automation)

    Location: South Asia

    Experience:

    • 7.5+ years of experience in software engineering, AI/ML development, or applied AI
    • Experience working with LLM providers such as OpenAI, Azure OpenAI, Anthropic, Vertex AI, or similar AI platforms
    • Experience working with at least one major cloud platform such as Microsoft Azure, AWS, or Google Cloud Platform

    Key Skills:

    • Python
    • FastAPI or Flask
    • asynchronous programming
    • testing frameworks
    • package management
    • LLM orchestration frameworks such as LangChain, LlamaIndex, LangGraph, Haystack
    • Java
    • REST API implementation
    • HTML
    • CSS
    • JavaScript
    • Linux
    • Shell scripting
    • Git
    • Docker
    • CI/CD pipelines

    Qualification:

    • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline
    • Professional certifications such as CISSP (Associate), CEH, CCSP, Google Professional Machine Learning Engineer, AWS Machine Learning Specialty, Azure Administrator (AZ-104), or equivalent cloud and security certifications

    Role Focus:

    • Design, develop, and deploy AI-powered automation solutions to enhance infrastructure security workflows
    • Build and optimize LLM-powered AI assistants using prompt engineering, structured outputs, system prompts, and function-calling capabilities
    • Design, implement, and maintain end-to-end Retrieval-Augmented Generation (RAG) pipelines
    • Develop scalable AI services and REST APIs using Python frameworks such as FastAPI or Flask
    • Build backend services in Java and lightweight frontend components using HTML, CSS, and JavaScript
    • Develop evaluation frameworks, regression test suites, and benchmark datasets to measure LLM accuracy, latency, hallucination rates, and operational costs

    Additional responsibilities:

    • Implement responsible AI practices, including prompt injection protection, PII masking, output filtering, access controls, audit logging, and rate limiting
    • Integrate AI solutions with enterprise security tools, vulnerability scanners, SIEM platforms, monitoring systems, and ticketing applications to automate security operations
    • Automate AI operational activities including data preparation, embedding refresh, health monitoring, evaluation runs, and deployment processes using Python and Shell scripting
    • Test, troubleshoot, optimize, and maintain AI applications to ensure reliability, scalability, performance, and cost efficiency
    • Collaborate with infrastructure, security, DevOps, engineering, and data teams to translate business requirements into production-ready AI solutions
    • Maintain technical documentation, code repositories, deployment artifacts, API documentation, and operational runbooks

    Nice to have:

    • Experience integrating AI solutions with SIEM platforms such as Microsoft Sentinel or Splunk and writing KQL or SPL queries
    • Familiarity with Infrastructure as Code tools such as Terraform or Bicep
    • Awareness of data privacy regulations such as the Digital Personal Data Protection (DPDP) Act and enterprise data governance practices

    Other:

    • Strong analytical, problem-solving, and debugging skills with the ability to troubleshoot AI models, retrieval pipelines, and security workflows
    • Excellent written and verbal communication skills with the ability to collaborate effectively across cross-functional teams
    • Continuously evaluate emerging AI technologies, frameworks, and best practices to improve solution quality, security, and developer productivity

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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