NOIDA · FULLTIME
AI Ops - Senior Engineer
Iris Software
Noida · onsite · Posted 12d ago
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Undisclosed3–7 yrsfulltimeNoida
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Section · 01
About this role
AI Ops - Senior Engineer
Location: Noida
Job Description Mandatory Skills: Retrieval-Augmented Generation (RAG), Advanced GenAI Agentic Framework Concepts, Cloud Application Integration Deployment, Agentic AI Systems, Azure AI Foundry, Azure OpenAI Service, AI Agents Tool Calling, LangChain
Key Responsibilities - Design and develop enterprise Generative AI solutions using Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry, Grog, or AI Search Index platforms.
- Define AI solution architectures and implementation approaches aligned with business and technical objectives.
- Design and implement Retrieval-Augmented Generation (RAG), Graph RAG, and Agentic AI architectures for enterprise use cases.
- Lead development of intelligent AI agents, tool-calling workflows, and autonomous task execution frameworks.
- Design and implement multi-agent orchestration solutions using frameworks such as LangGraph and evaluate emerging frameworks such as AutoGen or CrewAI where appropriate.
- Design and optimize prompt strategies, retrieval mechanisms, context orchestration, and response generation frameworks.
- Design prompt engineering pipelines, vector database integration, semantic search solutions, and Retrieval-Augmented Generation architectures supporting enterprise AI applications.
- Design and implement workflows using LangChain or LangGraph to support scalable AI application development.
- Design scalable AI engineering architectures incorporating authentication, authorization, asynchronous processing, scheduling, multithreading, API governance, and enterprise deployment best practices.
- Lead fine-tuning and model customization initiatives to improve domain-specific AI performance.
- Define AI integration patterns and deployment approaches for enterprise application ecosystems.
- Design cloud-native AI integration patterns supporting enterprise APIs, databases, messaging platforms, and event-driven architectures.
- Establish evaluation frameworks for AI response quality, reliability, relevance, and consistency.
- Design Human-in-the-Loop (HITL) workflows and evaluation mechanisms to improve AI quality, governance, and business reliability.
- Review AI solution designs to ensure adherence to engineering standards, scalability, maintainability, and responsible AI practices.
- Troubleshoot complex AI workflow, retrieval, orchestration, and model behavior challenges through detailed root cause analysis.
- Mentor team members on GenAI frameworks, RAG architectures, agentic systems, and AI engineering best practices.
- Drive continuous improvement initiatives focused on AI solution quality, innovation, and operational effectiveness.
- Demonstrates strong ownership while driving AI engineering excellence.
- Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.
- Promotes innovation and quality-focused engineering through proactive experimentation and continuous improvement.
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Section · 02
Skills
AutomationDevopsBedrockai integrationCrewaiAzure AiapisAzure OpenAIcustomizationAnalyticsCloud Application Integrationbusiness automationAsynchronousdeploymentcloudFinancial ServicesApplication DevelopmentMicrosoft AzureArtificial Intelligence
Section · Company
About Iris Software
Iris Software
IT Services & Consulting
4.3k+
employees
1991
35 years old
Edison, New Jersey
United States (USA)
About
IT company for best tech-solutions to enhance business operations
Industries
IT Services & Consulting
Employee ratings
1,895 reviews
3.8/ 5
Culture
3.7
Career growth
3.3
Work-life
3.8
Employees rate it well for
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