Gen AI - Engineer

Iris Software; Dadri; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Iris Software in India is seeking a GenAI Engineer to join an AI-focused team. You will design and develop GenAI-powered applications, translate requirements into Python services, and work with LLM orchestration frameworks.

You will build RAG pipelines, embeddings and vector databases, and contribute to agentic workflows while collaborating on code reviews, testing, and DevOps practices. This role offers hands-on growth in cloud-based AI tooling.

Qualifications

• 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.

Responsibilities

• Design and develop GenAI-powered applications.
• Translate functional requirements into efficient Python services.
• Work with LLM orchestration frameworks like LangChain, LangGraph, OpenAI tools, or custom agents.
• Participate in PoCs and exploratory work for GenAI capabilities.
• Build and optimize RAG pipelines using embeddings, vector databases, and chunking strategies.
• Implement basic Agentic workflows under guidance.
• Collaborate in code reviews, design discussions, and documentation.
• Follow best practices in coding standards, testing and DevOps.

Skills

Python programming

Gen AI / LLM apps

RAG pipelines

Embeddings

Vector databases

LangChain / LangGraph / ReAct

AWS Cloud basics

API development

Microservices

Containerization / Docker

CI/CD pipelines

GitLab / GitHub Actions

Communication

Tools

Flask

REST

LangChain

LangGraph

ReAct

OpenAI tools

PGVector

FAISS

AWS ECS

S3

API Gateway

IAM

Bedrock

Docker

Job description

Key Responsibilities

• 1. Generative AI Design & Developmenta.
  • 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. Python & Clouda.
  • 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. Collaborationa.
  • 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

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

Mandatory Competencies

1. Data Science and Machine Learning - Data Science and Machine Learning - Gen AI
2. Programming Language - Python - Flask
3. Cloud - AWS - AWS S3, S3 glacier, AWS EBS
4. Beh - Communication
5. DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket
6. Development Tools and Management - Development Tools and Management - CI/CD
7. Cloud - GCP - Apigee API Management, API Gateway