Company:IT Services Organization

Key Skills:
LLM, Retrieval-Augmented Generation (RAG), AI/ML

Roles and Responsibilities:
Lead the design and implementation of complex multi-step reasoning chains and agentic RAG pipelines using LangGraph and structured output patterns.
Architect and enforce safeguard mechanisms including prompt injection defense, hallucination mitigation, and context-window management across AI agents.
Integrate AI components with Model Context Protocol (MCP) to enable agents to access a shared, grounded knowledge base with reliable and auditable outputs.
Collaborate with Germany-based AETHER teams to embed AI services into CI/CD pipelines, ensuring seamless deployment, observability, and compliance with EU AI Act and DORA requirements.
Continuously evaluate and optimize prompt strategies, retrieval mechanisms, and model configurations to improve accuracy, latency, and reliability at enterprise scale.





Skills Required:
5+ years of hands-on experience building production AI/ML systems.
LLM and Retrieval-Augmented Generation (RAG) development for production AI applications.
LangGraph-based agentic RAG pipeline design and structured output patterns.
Python expertise for building and operating production AI/ML systems.
CI/CD integration with containerization and orchestration using Docker and Kubernetes.

Positive to Have:
AI/ML experience in regulated settings and familiarity with EU AI Act and DORA requirements.
Experience with GCP, DevSecOps practices, and GitHub Actions for enterprise delivery workflows.

Education:
Bachelor's or Master's degree in Computer Science, AI, or a related field.

📌 Lead Senior Applied Ai Engineer 101229 Hyderabad
🏢 MyCareernet
📍 Hyderabad