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AI Automation Specialist

NMS Consultant · Mumbai City

📅 10/08/2026
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Agentic AI Development (Mandatory) hands-on experience building multi-agent or agentic AI systems using LangChain, LangGraph, AutoGen, CrewAI, or comparable orchestration frameworks. LLM Integration (Mandatory) practical experience integrating large language models (OpenAI GPT, Anthropic Claude, Mistral, or open-source equivalents) into production applications via APIs. RAG Pipelines (Mandatory) design and implementation of Retrieval-Augmented Generation systems including vector databases (Pinecone, Weaviate, FAISS, ChromaDB), embedding models, and chunking strategies. Python (Mandatory) advanced scripting for AI workflow automation, data processing, API integration, and security tooling. REST API Integration (Mandatory) experience integrating AI agents with third-party security platforms (SIEM, SOAR, vulnerability management, ticketing) via REST APIs. AI Security & Guardrails knowledge of agentic AI security risks (prompt injection, data leakage, tool misuse) and hands-on experience implementing guardrails, input sanitisation, and safe output handling. Data Analytics proficiency in analysing and deriving insights from large structured/unstructured datasets using Python (Pandas, NumPy), SQL, and visualisation tools (Grafana, Power BI, or similar). Cybersecurity Domain Awareness working knowledge of security operations concepts: vulnerability management lifecycles, WAF rule logic, GRC frameworks, SOC workflows, and security alert triage. Good to Have: Experience with AI observability and monitoring tools (LangSmith, Weights & Biases, MLflow) for tracking LLM performance and detecting anomalies in agentic pipelines. Familiarity with vector search and knowledge graph technologies for enriching RAG systems with structured security intelligence. Cloud platform knowledge (AWS, Azure, or GCP) particularly AI/ML services (Bedrock, Azure OpenAI, Vertex AI) and security-hardened deployment patterns. CI/CD tooling (Jenkins, GitHub Actions, GitLab CI) for automated testing and deployment of AI models and agentic workflows. Awareness of OWASP Top 10 for LLM Applications and MITRE ATLAS framework for AI threat modelling. .
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