Gen AI - Lead

Iris Software Inc.; Dadri; On-site; INR 4,500,000 - 7,500,000; Full time

Benefits offered by this job

Benefits package

Job summary

Iris Software is seeking an experienced Lead Engineer (8-10 years) with strong Python, AWS Cloud, and Generative AI skills to lead GenAI-powered applications. You will design architectures, build scalable solutions, and mentor a team in a fast-growing IT services environment.

Role requires hands-on development in Python/Flask, RAG pipelines, vector databases, and cloud services, with collaboration across Product, Architecture, Security, and Data Engineering teams.

Qualifications

• Strong proficiency in Python and Flask
• Experience with Generative AI and LLM-based applications
• Expertise in RAG development and embeddings
• Familiarity with LangChain, LangGraph, OpenAI tools
• Cloud architecture knowledge across AWS/Azure/GCP
• Experience with API development, microservices and event-driven systems
• CI/CD, Docker, GitLab/GitHub Actions

Responsibilities

• Lead end-to-end design and development of GenAI-powered applications.
• Mentor a small engineering team and conduct design reviews.
• Collaborate with Product and Architecture teams to translate customer needs into scalable AI solutions.

Job description

Job Description:

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.

Working with Us

At Iris, every role is more than a job - it's a launchpad for growth.

Job Description

Role Overview
We are looking for an experienced Lead Engineer (8 - 10 Years) with strong expertise in Python, AWS Cloud, Generative AI, and hands-on experience in RAG (Retrieval Augmented Generation), Agentic workflows, and building LLM-powered applications. The ideal candidate will lead design, architecture, and development of scalable AI solutions, mentor the team, and collaborate closely with product and architecture teams.

Key Responsibilities

1. Architecture, Design & Technical Leadership
   
   
   
   • a. Lead end-to-end design and development of GenAI-powered applications.
   
   
   • b. Ability to understand and translate customer requirement into scalable AI architectures and meaningful design leveraging cloud services
   
   
   • c. Drive adoption of LLM orchestration frameworks (LangChain 1.0, LangGraph, OpenAI tools, custom agents).
   
   
   • d. Keep pace with technological evolution in Gen AI space, explore and set up PoC for better solutions
   
   
   
   


2. Generative AI Development
   
   
   
   • a. Build RAG pipelines using vector databases, embeddings, and document indexing.
   
   
   • b. Design and implement Agentic workflows
   
   
   • c. Implement vector search using PGVector, FAISS etc.
   
   
   • d. Create embedding pipelines, chunking strategies, metadata tagging, and retrieval optimizations.
   
   
   • e. MCP
   
   
   
   


3. Python & Cloud
   
   
   
   • a. Build backend services, API layers, and model-serving components in Python (Flask).
   
   
   • b. Understanding of AWS services such as ECS, API Gateway, S3, Bedrock, CloudWatch, SageMaker.
   
   
   • c. Performance and Security as first principles
   
   
   
   


4. Collaboration
   
   
   
   • a. Lead a small team of engineers, conduct code reviews and design reviews.
   
   
   • b. Work with cross-functional teams - Product, Architecture, Security, Data Engineering.
   
   
   • c. Ensure best practices in coding, testing, observability, and DevOps.
   
   
   
   

Required Skills

• Strong proficiency in Python (Flask, REST, async programming).


• Deep hands-on experience with Generative AI and LLM-based applications.


• Expertise in RAG development, embeddings, vector databases.


• Experience with Agent frameworks (LangChain 1.0, LangGraph, ReAct, OpenAI Assistants, or custom agents).


• Strong understanding of AWS/Azure/GCP Cloud architecture.


• Experience with API development, microservices, and event-driven systems.


• Familiarity with CI/CD pipelines, Docker, GitLab/GitHub Actions.

Mandatory Competencies

• Data Science and Machine Learning - Data Science and Machine Learning - Gen AI


• Programming Language - Python - Flask


• Beh - Communication


• DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket


• Cloud - AWS - AWS S3, S3 glacier, AWS EBS


• Data Science and Machine Learning - Data Science and Machine Learning - AWS Sagemaker


• Cloud - AWS - ECS


• Development Tools and Management - Development Tools and Management - CI/CD

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.

Requirements: