LUXASIA

AI Engineer – Agentic AI, Automation

LUXASIA

full-time

Posted on:

Location Type: Hybrid

Location: Delhi • India

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Tech Stack

AzureERPPythonSQL

About the role

  • Build, ship, and scale an internal AI assistant from limited beta to full organizational deployment — including usage tracking, feature development, and continuous improvement based on real user behavior
  • Develop and produce key AI features: conversational memory and chat history, internet search integration, voice input, image generation, and natural language data querying
  • Instrument AI products with telemetry and analytics to track adoption, identify drop-off points, and prioritize improvements based on evidence
  • Maintain high standards of reliability, response quality, and user experience across all AI products in production
  • Design and build multi-step agentic AI workflows that automate commercial operations — task tracking, competitive pricing analysis, campaign performance monitoring, and marketing spend optimization
  • Build human-in-the-loop interfaces that allow business users to review, approve, or override AI-generated recommendations before action is taken
  • Develop automated alert and routing systems that surface AI-driven insights to the right stakeholders at the right time
  • Integrate AI agents with internal data platforms, ERP systems, CRM tools, and third-party APIs to ensure agents have access to the data they need
  • Evaluate emerging AI platforms and tools against specific business use cases — producing structured assessments and recommendations for leadership
  • Define prompt engineering standards, system prompt versioning, and model evaluation frameworks across all AI products
  • Implement guardrails, fallback handling, and monitoring for all production AI agents to ensure safe and reliable operation
  • Stay current on the AI landscape and actively bring relevant ideas and tools to the team's attention
  • Contribute to internal AI training programmes — helping non-technical teams understand and adopt AI tools effectively
  • Run workshops and knowledge-sharing sessions to build AI literacy across the organisation
  • Document AI systems clearly so that the broader engineering team can maintain and extend them

Requirements

  • 2–5 years in software or ML engineering with at least 1–2 years of hands-on production experience building LLM-based or agentic AI systems.
  • Experience shipping AI features to real end users is essential. Background in e-commerce, retail, or marketing technology is a strong plus.
  • Must-Have Skills: LLM Application Development, Agentic / Multi-step AI Workflows, LangChain / AutoGen or equivalent, Prompt Engineering, Python, REST API Integration, RAG (Retrieval Augmented Generation), AI Telemetry & Monitoring
  • Nice to have Skills: Azure OpenAI Service, Voice / Speech-to-Text, Image Generation, APIs Natural Language to SQL, LLM Evaluation Frameworks, E-commerce or Retail Domain, Marketing Analytics, Legal AI Platforms
Benefits
  • With LUXASIA, an exciting career filled with robust professional growth awaits you. Isn’t that beautiful?
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
LLM Application DevelopmentAgentic AI WorkflowsLangChainAutoGenPrompt EngineeringPythonREST API IntegrationRAGAI TelemetryMonitoring
Soft Skills
communicationcollaborationtrainingworkshop facilitationknowledge sharing