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Applied AI engineer

Applied AI engineer

volto consulting
5-15 Years
Not Disclosed
  • Posted 17 hours ago
  • Be among the first 10 applicants

Job Description

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
  • 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.

More Info

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Key Skills

context-window management

LangGraph

structured output design patterns

hallucination mitigation

prompt injection defense

Agentic RAG architectures

LLM orchestration patterns

About Company

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