Gen AI - Lead

Why Join Iris? Are you ready to do the best work of your career at one of

India’s Top 25 Best Workplaces in IT industry ? Do you want to grow in an award-winning culture that

truly values your talent and ambitions ? Join Iris Software — one of the

fastest-growing IT services companies — where

you own and shape your success story .

About Us At Iris Software, our vision is to be our client’s most trusted technology partner, and the first choice for the industry’s top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services. Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working with Us At Iris, every role is more than a job — it’s a launchpad for growth. Our Employee Value Proposition,

“Build Your Future. Own Your Journey.” reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it. We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally. Curious what it’s like to work at Iris? Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.

Job Description Key Responsibilities GenAI Application Development

• Build, optimize, and maintain generative AI applications using Python, FastAPI, and modern microservices patterns.
• Integrate AWS Bedrock foundation models and embeddings into enterprise workflows.
• Develop scalable, secure REST APIs to expose GenAI capabilities. AWS Cloud Engineering
• Design and implement serverless, event-driven AI workflows using AWS Lambda, Step Functions, API Gateway, SQS/SNS, and EventBridge.
• Build and optimize data persistence layers using AWS RDS (PostgreSQL/MySQL). AI/ML Pipeline Enablement
• Implement prompt engineering, model orchestration, and inference pipelines.
• Fine-tune and evaluate LLMs using Bedrock or other supported frameworks.
• Collaborate with Data Science teams to deploy custom models into AWS environments. System Architecture & Best Practices
• Contribute to architecture designs for GenAI microservices and data flows.
• Ensure adherence to security, compliance, and cost-optimization best practices in AWS.
• Implement robust monitoring, logging, and observability for AI services. Collaboration & Stakeholder Engagement
• Work with product managers, data engineers, cloud architects, and UX teams to translate requirements into scalable AI features.
• Document services, workflows, APIs, and operational runbooks. Innovation & Continuous Improvement
• Evaluate new LLMs, embeddings, vector databases, and prompt orchestration tools.
• Explore advanced Python capabilities and emerging GenAI frameworks.
• Champion experimentation and rapid prototyping of AI-driven features.

Basic Qualifications

• Bachelor’s or Master’s in Computer Science, Engineering, AI/ML, or related field.
• 8+ years of hands-on software engineering, with at least 3 years in AI/LLM-focused development.
• Expert-level proficiency in Python (async programming, advanced OOP, design patterns).
• Strong experience with FastAPI and REST API development.
• Hands-on expertise with AWS Lambda, Bedrock, Step Functions, RDS, S3, IAM, and CloudWatch.
• Proven experience building production-grade GenAI applications or LLM-integrated solutions.
• Familiarity with vector databases (FAISS, Pinecone, or AWS OpenSearch vectors).
• Solid understanding of CI/CD, DevOps, and GitOps workflows.

Preferred Qualifications

• Experience with LangChain or Bedrock Agents.
• Knowledge of RAG architecture and embedding pipelines.
• Experience with AWS SageMaker.
• Strong knowledge of containerized deployment (Docker).
• Experience optimizing high-performance Python applications.
• Exposure to MLOps and model evaluation metrics.
• Open-source contributions in AI or Python ecosystems.

Mandatory Competencies Data & AI - GEN AI - Azure OpenAI Service Data & AI - GEN AI - Retrieval Augmented Generation (RAG) / Graph RAG / Agentic AI Systems Data & AI - GEN AI - Advanced GenAI & Agentic Framework Concepts Data & AI - GEN AI - Fine tuning & Model Customization / AI Agents & Tool Calling Data & AI - GEN AI - Cloud Application Integration & Deployment Data & AI - GEN AI - Workflow & Agentic Frameworks (LangChain / LangGraph) Data & AI - GEN AI - Python Data & AI - GEN AI - Amazon Bedrock Data & AI - GEN AI - Azure AI Foundry Data & AI - GEN AI - Prompt Engineering / Vector Databases Beh - Communication and collaboration

Perks And Benefits For Irisians Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits.