AI Engineer — Agent (India)

AI Engineer — Agent (India)

08 Oct
|
SecNinjaz Technologies
|
India

08 Oct

SecNinjaz Technologies

India

AI Engineer — Agentic AI & Runtime Engineering
Company: SecNinjaz Technologies LLP
Experience: Around 2 years of relevant hands-on experience
Employment: Full-time, on-site
Locations: Netaji Subhash Place, New Delhi,
About the opportunity
At SecNinjaz, we are building an AI-powered Vulnerability Assessment and Penetration Testing (VAPT) product that helps organisations identify, investigate and validate security weaknesses in authorised environments.
We are looking for an AI Engineer who enjoys building agentic systems and turning working prototypes into reliable product capabilities. You will develop the agent workflows, runtime services, tool integrations and context systems that enable our product to perform complex cybersecurity tasks.
Solid AI engineering and software development skills are essential. Previous cybersecurity or VAPT experience is a plus. You will work alongside our cybersecurity specialists to understand the domain and translate their expertise into reusable AI capabilities.
What you will work on
• Agentic workflows: Build agents that plan tasks,



select tools, interpret results and complete multi-step workflows with clear stopping conditions.
• Runtime engineering: Implement persistent state, checkpoints, retries, timeouts, cancellation and recovery so workflows remain dependable during failures and interruptions.
• Tool integration: Connect agents to security tools, APIs and internal services through structured interfaces, including Model Context Protocol (MCP) where appropriate.
• Reusable agent skills: Work with security researchers to convert tested procedures into versioned, documented skills that different agents and models can use.
• Context and retrieval: Build retrieval-augmented generation (RAG), context management and memory mechanisms that provide relevant knowledge and preserve the history of an investigation.
• Model integration: Integrate and compare LLMs through model adapters, with a focus on private and self-hosted inference.

📌 AI Engineer — Agent (India)
🏢 SecNinjaz Technologies
📍 India

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