Senior Applied 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

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.

Solid 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 (GCP preferred).

Nice-to-have: Experience in regulated industries (financial services, EU AI Act,

DORA), familiarity with GitHub Actions and enterprise-scale repository ecosystems, German language skills.

📌 Lead Senior Applied AI Engineer (Hyderabad)
🏢 Hucon Solutions
📍 Hyderabad