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Senior Applied AI Engineer - Agentic AI

Volto Consulting
6 - 10 Years
Hyderabad

Posted on: 15/10/2026

Job Description

About the job :

Role : Applied AI Engineer - Agentic AI / RAG

Location : Hyderabad

Experience : 6 - 10 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.

- 6 - 10 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, and context-window management.

- Strong 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 environments; 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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