MLOps Engineer
3 days ago
Hayrok is a next-generation AI-driven cybersecurity platform helping organizations strengthen their security posture through autonomous, intelligent agents. We are building AI agents that can reason, act, and collaborate to detect threats, monitor attack surfaces, and automate cybersecurity workflows.
We're looking for a hands-on AI Agent Engineer to design, code, and deploy AI agents that power the next generation of cybersecurity automation.
Responsibilities
* Design, build, and deploy AI agents for security use cases (penetration testing, threat detection, attack surface monitoring, fraud detection).
* Architect agent frameworks that combine LLMs, reasoning engines, APIs, and tool integrations.
* Implement pipelines for RAG, embeddings, and vector search to give agents context and memory.
* Integrate agents with APIs, external tools, and internal Hayrok services.
* Develop scalable backend logic using AWS (Lambda, Sagemaker, EKS).
* Write clean, maintainable code with proper documentation and testing.
* Collaborate with product/security teams to quickly prototype new use cases.
* Develop pipelines for training, fine-tuning, and evaluating LLM-based agents.
* Drive best practices for safety, reliability, and security of AI agents.
Requirements
* Proficiency in Python and frameworks like LangChain, LlamaIndex, or Semantic Kernel.
* Hands-on experience with LLMs (GPT, Claude, LLaMA, Mistral, etc.).
* Experience with vector databases (Pinecone, Weaviate, FAISS, Milvus).
* Familiarity with secure API development and integration.
* Cloud experience (AWS serverless, containerized environments).
* Strong debugging, testing, and iteration mindset.
* Familiarity with AI safety, alignment, and governance practices.
* Experience designing scalable pipelines for RAG, fine-tuning, embeddings, and inference.
Send required application to
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