Agentic AI Engineer / Architect

Quick Facts

Role: Agentic AI Engineer / Architect

Work mode: Remote

Focus: Agentic AI for Cyber Security workflows

Description

Design, build, and deploy intelligent agent systems that support a Cyber Security organization. You will architect LLM-powered autonomous or semi-autonomous agents with RAG, tool use, and multi-context reasoning, then help productionize, scale, and monitor agent-based services.

Responsibilities

• Create and support AI capabilities for the Cyber Security organization, empowering CSO employees and simplifying workflows.
• Design, develop, and deploy intelligent agent systems that can reason, plan, and autonomously interact in complex environments.
• Build agent systems powered by LLMs, RAG, and tool-using frameworks; optimize agent performance.
• Architect agent planning, memory, reflection, and recursive reasoning across multiple contexts or sessions.
• Evaluate and integrate agent frameworks such as LangGraph, CrewAI, AutoGen, and ReAct-style agents.
• Implement secure and efficient agent-environment interactions, including API calling and database/toolchains.
• Build internal agent tooling for summarization, research, decision-making, and task execution workflows.
• Collaborate with ML scientists to fine-tune or distill models for specialized agent use cases.
• Work with product and infrastructure teams to productionize and scale agent services.
• Contribute to safety/alignment guardrails and monitoring of agent behaviors; participate in code reviews and mentoring.

Requirements

• 6+ years in software engineering; 2+ years focused on AI/ML or intelligent agent design.
• Python proficiency and experience with AI/ML libraries such as LangChain, Hugging Face, PyTorch, Transformers, and OpenAI APIs.
• Strong understanding of modern LLMs, prompt engineering, and reasoning patterns (CoT, ToT, ReAct).
• Experience building complex workflows using memory, state, external tools, and human-in-the-loop control.
• Familiarity with scalable data pipelines and backend orchestration (FastAPI, Airflow, Ray, Kubernetes).
• Experience with vector databases and RAG architectures (Pinecone, FAISS, Weaviate).
• Deep understanding of AI safety principles, hallucination mitigation, and system monitoring.

Benefits

The posting specifies contract work and remote availability. Additional benefits were not detailed in the provided text.