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 quick-paced consulting environments
- Strong ownership mindset and focus on delivery excellence.

📌 Cyber AI Engineer (India)
🏢 EY
📍 India