NOIDA · FULLTIME
Fullstack Gen AI - Engineer
Iris Software
Noida · onsite · Posted 30d ago
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Undisclosed3–8 yrsfulltimeNoida
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Section · 01
About this role
Fullstack Gen AI - Engineer
Location: Noida, UP, India
Company: Iris Software
Job Description Mandatory Skills:
- Advanced GenAI Agentic Framework Concepts
- Cloud Application Integration Deployment
- AI Agents Tool Calling
- Azure AI Foundry
- Agentic AI Systems
- LangChain
- LangGraph
Additional Skills:
- GitHub
- Develop and implement Generative AI solutions using platforms such as Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry, Grog, or AI Search Index services.
- Build Retrieval-Augmented Generation (RAG), Graph RAG, or Agentic AI solutions to support enterprise knowledge retrieval and intelligent automation use cases.
- Develop AI-powered applications leveraging Large Language Models (LLMs) aligned with business requirements.
- Develop secure AI services using Python and FastAPI, implement authentication, authorization, asynchronous APIs, request throttling, scheduling, multithreading, and scalable API design where applicable.
- Configure and implement AI agents, tool-calling mechanisms, and intelligent workflow automation solutions.
- Develop and maintain workflows using LangChain or LangGraph to orchestrate AI interactions and business processes.
- Implement prompt engineering, context management, and retrieval strategies to improve AI response quality and relevance.
- Support implementation of vector databases, semantic search, and prompt engineering techniques to improve retrieval quality and AI response accuracy where applicable.
- Support fine-tuning and model customization activities to enhance model performance for domain-specific use cases.
- Integrate AI applications with enterprise systems, databases, external APIs, cloud services, and Model Context Protocol (MCP)-based services where applicable to enable secure, scalable, and seamless business workflows.
- Perform testing, validation, and evaluation of AI-generated outputs to ensure quality, accuracy, and reliability.
- Monitor AI solution performance and support troubleshooting and optimization activities.
- Maintain technical documentation, prompt configurations, workflow definitions, and implementation artifacts.
- Collaborate with various teams and stakeholders to support successful AI solution delivery.
- Ensure AI solutions are reliable, scalable, maintainable, and aligned with business requirements.
- Demonstrates ownership and accountability while delivering high-quality AI solutions.
- Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.
- Maintains a quality-first mindset while developing reliable and effective AI-powered applications.
- Applies strong analytical and problem-solving skills to resolve AI, retrieval, and workflow-related challenges.
- Shows adaptability and willingness to learn evolving AI technologies, frameworks, and industry trends.
- Communicates clearly by sharing progress, risks, assumptions, and dependencies proactively.
- Maintains attention to detail during AI solution development, testing, validation, and deployment activities.
- Works effectively in dynamic environments with changing priorities and evolving business requirements.
- Takes initiative in improving AI solution quality, automation effectiveness, and operational efficiency.
- Demonstrates a customer-centric mindset by delivering reliable, high-quality solutions.
- DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket
- Cloud - Azure - Azure Devops, Azure Pipelines, Azure CLI
- User Interface - UI-React - React
- Data AI - GEN AI - Azure AI Foundry
- Data AI - GEN AI - Workflow Agentic Frameworks (LangChain / LangGraph)
- Data AI - GEN AI - Prompt Engineering / Vector Databases
- Data AI - GEN AI - Retrieval Augmented Generation (RAG) / Graph RAG / Agentic AI Systems
- Data AI - GEN AI - Fine tuning Model Customization / AI Agents Tool Calling
- Data AI - GEN AI - Python
- Data AI - GEN AI - Pandas
- Data AI - GEN AI - NumPy
- Data AI - GEN AI - Advanced GenAI Agentic Framework Concepts
- Data AI - GEN AI - Cloud Application Integration Deployment
- Beh - Communication and collaboration
Sourced from naukri
Section · 02
Skills
AutomationAzure DevopsBedrockAzure PipelinesAzure Aiapisai servicesapi designai technologiesBusiness RequirementsbitbucketAzure OpenAIAnalyticsbusiness automationazure cliAsynchronouscloudAi SolutionsMicrosoft 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
Work Life Balance381Work Culture267Senior Management254Learning202Salary156
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