Gen AI - Engineer

Iris Software, Inc.; India; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Iris Software, Inc. is seeking a talented engineer to design and develop GenAI-powered applications, focusing on Python services and cloud integration.

You will build RAG pipelines, work with vector databases, and contribute to code reviews, documentation, and DevOps practices within a collaborative team.

Qualifications

• Proficiency in Python (Flask, REST, async).
• Experience with Generative AI and LLM-based apps.
• Knowledge of RAG, embeddings and vector databases.
• Exposure to LangChain/LangGraph or similar.
• Familiarity with AWS Cloud and containers.
• Experience with API development and CI/CD.

Responsibilities

• Design and implement GenAI-powered applications.
• Build RAG pipelines with embeddings and vector databases.
• Collaborate via code reviews, design discussions, and documentation.

Skills

Python

Generative AI

LLM applications

API development

CI/CD

Tools

LangChain 1.0

LangGraph

OpenAI tools

Docker

GitHub Actions

AWS (ECS, S3, API Gateway)

Bedrock

FAISS

PGVector

Job description

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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

1. 1. Generative AI Design & Development
   • a. Contribute to the design and implementation of GenAI‑powered applications.
   • b. Translate functional requirements into efficient Python services.
   • c. Work with LLM orchestration frameworks (LangChain 1.0, LangGraph, OpenAI tools, custom agents).
   • d. Participate in PoCs and exploratory work for new GenAI capabilities.
2. 2. Python & Cloud
   • a. Build and enhance RAG pipelines using embeddings, vector databases, and chunking strategies.
   • b. Implement basic Agentic workflows under guidance from senior team members.
   • c. Work with vector search systems (PGVector, FAISS, etc.).
   • d. Implement indexing, metadata tagging, and retrieval optimizations.
   • e. Exposure to MCP / tool‑integration frameworks is an added advantage.
3. 3. Collaboration
   • a. Participate in code reviews, design discussions, and documentation.
   • b. Follow best practices in coding standards, testing and DevOps
   • c. Collaborate with team.

Required Skills

• Strong hands‑on proficiency in Python (Flask, REST, async programming).
• Practical experience with Generative AI and LLM‑based applications.
• Good understanding of RAG system, embeddings, vector databases.
• Exposure to Agentic frameworks (LangChain 1.0, LangGraph, ReAct, OpenAI Assistants, or custom agents).
• Familiarity with AWS Cloud (ECS, S3, API Gateway, IAM, Bedrock).
• Experience with API development, microservices, containerization etc.
• Knowledge of CI/CD pipelines, Docker, GitLab/GitHub Actions.

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

Programming Language - Python - Flask

Beh - Communication

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.