24 Aug
|
Spore N Sprouts
|
Noida
24 Aug
Spore N Sprouts
Noida
Home/Jobs/Gen AI - Lead
Gen AI - Lead
Iris Software
Noida / UP
5-8 years
2 days ago
$41.0K–60.2K/yr
Full time
Onsite
Skills Required LLM
RAG
Agentic AI Systems
Gen AI
LangChain
Azure OpenAI Service
Vector Database
Fine-tuning
LangGraph
Amazon Bedrock
Azure AI Foundry
AI Search Index
FastAPI
Python
Pandas
Description Iris Software is hiring a Gen AI - Lead to design and drive enterprise generative AI solutions. The role focuses on agentic systems, RAG architectures, cloud integration, and AI engineering excellence.
Company: Iris Software
Role: Gen AI - Lead
Location: Noida, UP, India
Responsibilities
- Design and develop enterprise Generative AI solutions
- Define AI solution architectures and implementation approaches aligned with business and technical objectives
- Design and implement 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 LangGraph
- 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 RAG architectures for enterprise AI applications
- Design and implement workflows using LangChain or LangGraph for scalable AI application development
- Design scalable AI engineering architectures for enterprise deployment
- Lead fine-tuning and model customization initiatives
- 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 workflows and evaluation mechanisms
- Review AI solution designs for scalability, maintainability, and responsible AI practices
- Troubleshoot AI workflow, retrieval, orchestration, and model behavior challenges through 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
Additional Responsibilities
- Lead AI engineering excellence
- Collaborate with teams and business stakeholders to ensure smooth delivery
- Promote innovation and quality-focused engineering through proactive experimentation and continuous improvement
- Apply analytical thinking to evaluate complex AI, retrieval, and orchestration challenges
- Demonstrate adaptability with evolving AI technologies, frameworks, and business requirements
- Communicate AI solution design, risks, dependencies, assumptions, and improvement opportunities
- Maintain high attention to detail across architecture, prompt design, workflow implementation, testing, and deployment
- Encourage continuous improvement in AI engineering practices, framework adoption, and solution effectiveness
- Promote secure, scalable, and responsible AI engineering practices while balancing innovation, governance, and business objectives
- Support knowledge sharing and mentoring to strengthen team capabilities
- Balance innovation, scalability, reliability, and business priorities while driving delivery excellence
Other
- One of India’s Top 25 Best Workplaces in IT industry
- Fastest-growing IT services company
- Over 4,300 associates across India, U.S.A, and Canada
- Enterprise clients across financial services, healthcare, transportation & logistics, and professional services
- Work spans complex, mission-critical applications
- Technology areas include Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation
- Employee Value Proposition: Build Your Future. Own Your Journey.
- Personalized career development, continuous learning, and mentorship
- World-class benefits for financial, health, and well-being needs
More Skills Advanced GenAI, Agentic Framework Concepts, Cloud Application Integration, Cloud Deployment, AI Agents, Tool Calling, PostgreSQL, Grog, Graph RAG, AutoGen, CrewAI, Prompt Engineering, Semantic Search, Human-in-the-Loop, Authentication, Authorization, Asynchronous Processing, Scheduling, Multithreading, API Governance, Model Customization, Cloud-native AI Integration, Enterprise APIs, Databases, Messaging Platforms, Event-driven Architectures, Evaluation Frameworks, Responsible AI
Prepare for this role
Recommended resources to build the skills for this position. Sponsored.
Top 20 LLM System Design Questions (Quick)
Zenaique A focused LLM system design interview question set.
Top 50 LLM System Design Interview Questions
Zenaique
Curated LLM system design questions from Zenaique.
Top 15 Fine-tuning Interview Questions (Quick)
Zenaique A shorter fine-tuning interview prep set for quick review.
More LLM jobs
Remote Opportunity - Talent Factory - AI Consultants
Emagine
India
Today
Applied AI/ML Engineer
JPMorgan Chase
Bengaluru
Today
AI Agent Developer
Synmatch AI
India
Today
AI Solution Engineer
Siemens Technology And Services Private Limited
Bengaluru
Today
Staff Agentic AI Engineer
Equinix
Bengaluru
Today
Python Lead Developer → AI Lead
Tachyon Tech
Hyderabad
Today
📌 Gen AI - Lead (Noida)
🏢 Spore N Sprouts
📍 Noida