Applied AI Engineer – Agentic AI / RAG

Location: Hyderabad

Experience: 5–15 Years

Job Type: Full time

Key Responsibilities
Lead the design and implementation of complex multi-step reasoning chains and agentic RAG pipelines using LangGraph and structured output patterns.
Architect and implement AI safeguard mechanisms, including prompt injection defense, hallucination mitigation, and context-window management across AI agents.
Serve as a technical reference for Applied AI Engineers in Hyderabad by conducting code reviews, mentoring engineers, and driving engineering standards.
Integrate AI components with the Model Context Protocol (MCP) to enable agents to access shared, grounded knowledge bases and generate reliable, auditable outputs.
Collaborate with Germany-based AETHER teams to integrate AI services into CI/CD pipelines, ensuring deployment, observability, and compliance with EU AI Act and DORA requirements.
Continuously evaluate and optimize prompt strategies, retrieval mechanisms, and model configurations to improve agent accuracy, latency, and reliability at enterprise scale.

Required Skills & Experience
Bachelor's or Master's degree in Computer Science,



Artificial Intelligence, or a related field.
5–15 years of overall experience, with strong hands-on experience building production AI/ML systems.
Expert-level Python programming skills.
Strong practical experience with LangGraph, Agentic RAG architectures, and structured output design patterns.
Proven experience implementing AI safety and quality mechanisms, including:
Prompt injection defense
Hallucination mitigation
Context-window management
Robust understanding of Model Context Protocol (MCP) and LLM orchestration patterns.
Experience with foundation models such as Anthropic Claude.
Hands-on experience with CI/CD, Docker, Kubernetes, and DevSecOps practices.
Experience working with cloud settings; GCP preferred.
Strong understanding of enterprise AI deployment, observability, and reliability.

Nice to Have
Experience working in regulated industries, particularly financial services.
Knowledge of EU AI Act and DORA requirements.
Experience with GitHub Actions.
Experience collaborating with global engineering teams.

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