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

Senior Staff Engineer (AI Developer InfraSec Automation)

Skills Required

Description