Cyber AI Engineer

Technical Skills and Expertise:

• Programming: Strong proficiency in Python; exposure to JavaScript, TypeScript, or other languages
• AI/LLM Tools: OpenAI Codex, GitHub Copilot, Claude, Cursor, Gemini, and similar developer tools
• AI Frameworks: LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalents
• Cloud Platforms: Azure (preferred), AWS, or GCP
• AI Platforms: Azure AI Foundry, Azure OpenAI, Hugging Face, Vertex AI, or similar
• Vector Databases: Pinecone, FAISS, Azure AI Search, Weaviate, or equivalent
• Observability & Evaluation: LangSmith, PromptLayer, Azure Monitor, or equivalent tools
• DevOps & CI/CD: GitHub Actions, Azure DevOps, Jenkins, or similar
• Prototyping Tools: Replit, notebooks, rapid experimentation frameworks
• Core Concepts: RAG optimization, prompt engineering, embeddings, model fine-tuning (LoRA/basic), evaluation frameworks, agentic workflows
• Cyber Domain experience is Mandatory

Soft Skills and Attributes:

• Strong analytical and problem-solving capabilities
• Ability to lead small teams and guide junior engineers
• Effective communication and client interaction skills
• Ability to thrive in fast-paced consulting environments
• Strong ownership mindset and focus on delivery excellence.