Python/GenAI Developer

Tranzeal; Chennai District; On-site; INR 4,200,000 - 4,300,000; Full time

Job summary

Tranzeal in Chennai is seeking a seasoned GenAI/Python architect with 12+ years of progressive software leadership to drive architecture and delivery of enterprise GenAI solutions.

You will mentor teams, design scalable architectures on OpenShift, and optimize RAG systems using LangChain/LangGraph, with familiarity in vector stores like pgvector.

Qualifications

• 12+ years of progressive experience in Python/GenAI development and leadership.
• Experience designing enterprise GenAI solutions with scalable architectures.
• Hands-on GenAI with LangChain/LangGraph or Google's ADK; familiar with RAG systems and vector stores.

Responsibilities

• Lead design and architecture of GenAI applications on OpenShift or similar platforms.
• Mentor and manage priorities in a fast-paced environment; drive agile practices.
• Develop and optimize GenAI systems, chatbots, multi-agent architectures, and data pipelines.

Skills

Python

GenAI

LangChain

LangGraph

Java

Google ADK

Tools

FastAPI

OpenShift

Docker

Kubernetes

PostgreSQL

Oracle

SQLAlchemy

pgvector

Pinecone

Job description

Overal 12+ Years experience is mandatory , relevant 8 years minimum Rates 42 - 43 LPA (Max)

Work Location Chennai

Work Mode (Remote/ On-site/ Hybrid)

Skill Python, Gen AI, Langchain, Langgraph, Java, Google ADK, Pgvector

Job Description

• Experience & Strategic Leadership: 12+ years of progressive experience in Python/GenAI development, demonstrating a proven ability to lead, mentor, and manage priorities in a fast-paced environment. Possesses a strong understanding of the entire software development lifecycle, best practices, and agile methodologies.
• GenAI Solution Architecture: Leads the design and architecture of scalable, resilient, and performant enterprise-grade GenAI applications using Python, FastAPI, and related technologies on platforms like OpenShift.
• Deep AI/ML & GenAI Proficiency: Proven hands-on experience in designing and developing GenAI applications using frameworks like LangChain, LangGraph, or Google's Agent Development Kit (ADK). Extensive knowledge and practical experience in building and optimizing RAG systems, chatbots, and multi-agent architectures, coupled with familiarity with vector databases (e.g., pgvector, Pinecone).
• Advanced Python Expertise: In-depth knowledge of Python internals and advanced language features, including profound understanding and practical application of asynchronous programming (e.g., asyncio).
• Data & Web Frameworks: Hands-on experience with FastAPI for building high-performance APIs, excellent knowledge of relational databases (PostgreSQL, Oracle), SQL, and ORM technologies (e.g., SQLAlchemy).
• DevOps & Cloud Native: Experience with containerization technologies (Docker, Kubernetes) and deploying applications on OpenShift or similar Kubernetes-based platforms, alongside experience in setting up and managing CI/CD pipelines.
• Value-Added Skills: Strong understanding of overall Software Design Principle. Knowledge of Java is highly valued.