Job Description – AI/LLM Expert (RAG Anomaly Detection Platform)

Position : Senior AI/LLM Architect – RAG, Knowledge Intelligence Anomaly Detection

Key Responsibilities
Design and implement enterprise Agentic Applications for knowledge processing.
Develop knowledge ingestion pipelines for structured and unstructured government documents.
Build semantic search and retrieval systems using Vector Databases and Search Engines.
Develop anomaly detection models to identify contradictions, policy deviations, and historical inconsistencies.
Develop Intent Management Systems to understand Documents.
Fine-tune and optimize LLMs for government and policy-domain use cases.
Develop explainable AI capabilities, confidence scoring, and audit trails.
Build APIs and microservices for AI model integration.

Mandatory Technical Skills
AI / Machine Learning
Understanding and Integration with Open source Large Language Models (LLMs) like Llama, Mistral, Gemma
Retrieval-Augmented Generation (RAG)




Semantic Similarity Text Classification
Semantic anomaly detection
Vector Databases (Milvus, Qdrant, Weaviate)
Search Technologies like Elasticsearch / OpenSearch Hybrid Search (Keyword + Semantic Search)
Python/PyTorch / TensorFlow
LangChain / LlamaIndex

Experience Requirements
Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
6–12 years of software engineering and AI/ML experience.
Minimum 5 years of hands-on experience in LLM, RAG, NLP, or Generative AI solutions.
Experience designing enterprise-scale AI platforms handling large document repositories.
Experience with government, public sector, legal, regulatory, telecom, banking, or compliance-related domains preferred.

Experience with on-premise deployments and security-sensitive settings is highly desirable

📌 Senior Software Engineer Delhi
🏢 Amantya Technologies
📍 Delhi