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 defence,

hallucination mitigation, and context-window management across all AI agents.

▪ Serve as the technical reference for Applied AI Engineers in Hyderabad,

conducting code reviews, mentoring on best practices, and driving engineering standards.

▪ Integrate AI components with the Model Context Protocol (MCP) to ensure agents 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 optimise prompt strategies, retrieval mechanisms,

and model configurations to improve agent accuracy, latency, and reliability at enterprise scale.





Your profile

▪ Bachelor's or Master's degree in Computer Science, AI, or a related field, with 5+

years of hands-on experience building production AI/ML systems.

▪ Expert-level Python programming skills with deep practical experience in

LangGraph, agentic RAG architectures, and structured output design patterns.

▪ Proven ability to implement AI safety and quality mechanisms including prompt injection defence, hallucination mitigation, and context-window management in production environments.

▪ Robust understanding of the Model Context Protocol (MCP), LLM orchestration patterns, and foundation models such as Anthropic Claude.

▪ Solid experience with CI/CD integration, containerisation (Docker/Kubernetes),

and DevSecOps practices in cloud environments, Any cloud experience or (GCP preferred).

📌 Lead Senior AI Engineer (Hyderabad)
🏢 PeopleLogic
📍 Hyderabad