Product Engineer (AI)

Quest Global

Hyderabad, Telangana, India2h agovia LinkedIn

Product Engineer (AI)

About the Role

Support the scaling of a low code/no code Gen AI team, focused on deploying agentic workflows across Support Operations and Communications teams.

Key Responsibilities

  • Building and deploying AI agents using frameworks such as LangChain, Amazon Bedrock Agents, CrewAI, or similar orchestration tools.
  • Designing, testing, and iterating on prompts for production-grade use cases including classification, summarization, and reasoning tasks.
  • Connecting AI agents to enterprise systems via APIs, webhooks, and event-driven architectures (e.g., ticketing systems like SIM-T, communication platforms, QA tools).
  • Applying natural language processing concepts, particularly to ticket triage, root cause analysis, and intent classification.

Requirements & Tech Stack

  • Agentic AI / LLM Application Development
  • Prompt Engineering & LLM Optimization
  • Low Code/No Code Platform Experience: Familiarity with Amazon internal platforms such as:
  • Amazon Quick Suite (Quick Flows for task automation and orchestration, Quick Automate for multi-agent enterprise process automation)
  • Agent Spaces for building and deploying agentic interfaces
  • ProtozoApp for rapid application prototyping and deployment
  • Workflow Automation & Integration
  • NLP / Text Classification

Qualifications

  • Hands-on experience building and deploying AI agents.
  • Strong ability to design, test, and iterate on prompts.
  • Familiarity with specific Amazon internal platforms.
  • Experience connecting AI agents to enterprise systems.
  • Understanding of natural language processing concepts.

Nice-to-Have / Secondary Skills:

  • Experience with RAG (Retrieval-Augmented Generation) architectures.
  • Familiarity with evaluation frameworks for AI output quality (accuracy, hallucination detection, human-in-the-loop review).
  • Background in process automation or operations support environments.
  • Experience with quality assurance automation or testing frameworks.
  • Understanding of escalation logic and severity-based routing.

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