AI Engineering

About Position: We are looking for an experienced AI Infrastructure & Security Engineer to build, secure, and optimize enterprise-grade AI platforms. In this role, you will deploy and manage large language models such as LLaMA 3.1 70B and Mistral on GPU infrastructure, orchestrate AI agents using Kubernetes, and develop MCP servers to support scalable AI workflows. You will design robust security architectures, implement audit logging, configure vector databases such as ChromaDB and Weaviate, and establish guardrails for safe AI operations. The ideal candidate combines strong expertise in AI infrastructure, platform engineering, Kubernetes, vector databases, and AI security best practices.

• Role: AI Engineering
• Location: Gurugram
• Experience: 8 to 12 Years
• Job Type: Full-Time Employment What You'll Do:
• Deploy, optimize, and manage on-premise LLMs on GPU infrastructure.
• Set up and maintain Kubernetes clusters for AI agent deployments.
• Design and implement secure RBAC and access control frameworks.
• Develop, maintain, and scale MCP servers and AI platform services.
• Configure ChromaDB/Weaviate, including indexing, chunking, and hybrid search tuning.
• Implement AI security controls, audit logging, guardrails, and monitoring pipelines.

Expertise You'll Bring:

• Strong experience in Generative AI (GenAI), LLM applications, and AI agent architectures.
• Hands-on expertise with Google ADK, A2A (Agent-to-Agent) Protocol, and Multi-Agent Frameworks.
• Proficiency in Python development and backend system design.
• Experience with Prompt Engineering, structured prompting, and LLM orchestration.
• Knowledge of LangGraph, CrewAI, AutoGen, or similar agentic AI frameworks.
• Strong understanding of MCP (Model Context Protocol), tool integration, and tool registration.
• Experience with Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS, Milvus, etc.).
• Expertise in designing LLM-powered workflows, task delegation, and inter-agent communication.
• Experience implementing JSON Schema Validation, structured outputs, and confidence scoring mechanisms.
• Strong problem-solving skills with experience in AI system design, testing, and optimisation.
• Familiarity with REST APIs, microservices, and cloud platforms (AWS/Azure/GCP) is preferred.

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment: Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We support hybrid work and flexible hours to fit diverse lifestyles.
• Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let’s unleash your full potential at Persistent - persistent.com/careers “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”