successfactors
Fullstack Gen AI - Engineer
IRIS Software Inc
Noida, IND
Full-time
Entry
Onsite
Discovered 3 weeks ago
Amazon BedrockAzure OpenAI ServiceAzure AI FoundryAI Search IndexPythonFastAPI
Free
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Amazon BedrockAzure OpenAI ServiceAzure AI Foundry
Role Overview
Mandatory Skills: Advanced GenAI & Agentic Framework Concepts, Cloud Application Integration & Deployment, AI Agents & Tool Calling, Azure AI Foundry, Agentic AI Systems, LangChain, LangGraph
Key Skills for This Role
Amazon BedrockAzure OpenAI ServiceAzure AI FoundryAI Search IndexPythonFastAPI
Full Job Posting
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
Key Responsibilities
- 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.
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