Key Responsibilities:
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 recent GenAI capabilities.
Python Clouda. 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.
Collaborationa. Participate in code reviews, design discussions, and documentation.

b. Follow best practices in coding standards, testing and DevOpsc. Collaborate with team.

Required Skills :

Robust hands-on proficiency in Python (Flask, REST,



async programming). Practical experience with Generative AI and LLM-based applications. Valuable 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.

Mandatory Competencies

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

Beh - Communication

Programming Language - Python - Flask

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

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

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

📌 Gen Ai Senior Engineer Noida (India)
🏢 IRIS SOFTWARE
📍 India