Lead Senior AI Engineer

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.

• Strong 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).