Senior GenAI & Agentic AI Engineer – Cybersecurity

NopalCyber; Elsene; On-site; EUR 38,000 - 66,000; Full time

Job summary

NopalCyber is seeking a Senior AI Engineer to lead the design, development, and productionization of Generative AI, Agentic AI, and AI-driven automation for enterprise cybersecurity. You will own AI initiatives end-to-end—from problem framing to deployment, monitoring, and continuous improvement.

You will architect LLM-powered applications, build multi-agent systems, and implement robust, secure AI services using Python and FastAPI.

Qualifications

• 5+ years total software/engineering experience, with at least 2+ years hands-on GenAI and Agentic AI.
• Strong practical experience building LLM-based production applications and AI agents.
• Strong understanding of Agentic AI, Multi-Agent Systems, AI workflows, tool calling, planning, memory, state management, and human-in-the-loop patterns.

Responsibilities

• Own AI/GenAI initiatives end-to-end, translating business and cybersecurity requirements into scalable AI solutions.
• Design and implement Agentic AI and Multi-Agent systems for autonomous investigation, decision support, workflow automation, threat analysis, and security operations.
• Architect and develop LLM-powered applications, RAG pipelines, AI agents, conversational systems, and intelligent automation workflows.
• Design agent orchestration including planning, tool calling, memory, state management, and guardrails.
• Build enterprise-grade RAG solutions with vector search, embeddings, and contextual response generation.
• Integrate AI agents with enterprise systems via REST APIs, webhooks, SDKs, databases, SIEM/EDR, and other services.
• Establish AI evaluation mechanisms covering accuracy, relevance, groundedness, hallucination, latency, and cost.
• Optimize LLM applications for performance, scalability, and inference cost.
• Develop secure AI solutions addressing prompt injection, data leakage, access control, and guardrails.
• Develop production-ready AI services and APIs using Python/FastAPI with logging, testing, and observability.
• Troubleshoot complex issues across LLM, RAG, orchestration, integrations, and deployment environments.
• Mentor AI engineers and contribute to AI architecture standards and reusable frameworks.

Skills

GenAI & Agentic AI

LLM-based production apps

Python programming

REST APIs

LangChain

Vector databases

AI evaluation & observability

Education

B.Tech/B.E./M.Tech in Computer Science, AI/ML, Data Science

Tools

LangChain

LangGraph

Docker

FastAPI

PostgreSQL/MySQL

AWS

Job description

NopalCyber is seeking a Senior AI Engineer to lead the design, development, and productionization of Generative AI, Agentic AI, and AI-driven automation for enterprise cybersecurity. You will own AI initiatives end-to-end—from problem framing to deployment, monitoring, and continuous improvement.

You will architect LLM-powered applications, build multi-agent systems, and implement robust, secure AI services using Python and FastAPI.