Role : Python Gen AI Automation

Experience : 6 to 10 years

Location : Chennai, Kolkata, Hyderabad, bangalore,Pune, Delhi

Key skills : Python development and Generative AI expertise to build and scale AI-first platforms and applications. The role focuses on developing and operationalizing GenAI solutions on Google Cloud Vertex AI, while also integrating capabilities across AWS and OpenAI ecosystems.

Desired Competencies (Technical/Behavioral Competency)

Must-Have

- Python Dev (KARAT Completion)
- GenAI App Dev ( LangChain, LangGraph, RAG Pipelines)
- GCP/AWS/OpenAI Platform Experience

Core Technical Skills

- Strong expertise in Python (mandatory)
- Experience building backend services using:
- FastAPI / Flask
- 5–12 years in software/platform engineering ---- Python
- Minimum 2 years in GenAI/LLM-based system development (mandatory)
- Bachelor’s/Master’s in Computer Science, AI, or related field

Valuable-to-Have

GenAI & Framework Expertise (Mandatory)

- Hands-on experience with:
- LangChain
- LangGraph
- Strong expertise in:
- RAG (Retrieval-Augmented Generation)
- Prompt engineering
- LLM orchestration
- Experience integrating:
- Vertex AI / OpenAI / AWS Bedrock

Cloud & Platform Experience (Mandatory)
- Strong experience with GCP (Vertex AI preferred)
- Working knowledge of AWS and OpenAI platforms
- Experience with:
- Docker, Kubernetes (GKE preferred)
- Serverless architectures
- Infrastructure-as-code (Terraform preferred)

Data & Vector Database Skills




- Hands-on experience with vector stores:
- Pinecone, FAISS, Chroma, Weaviate
- Data pipeline development for AI applications
- Experience handling large-scale enterprise data

 Experience building enterprise GenAI platforms or internal developer platforms

 Exposure to multi-modal AI (text, images, audio)

 Knowledge of:

- AI governance, compliance, and security

 Experience in BFSI or regulated industries (good to have)

Role descriptions / Expectations from the Role

1

Vertex AI & GenAI Platform Development (Core Focus)

- Design, build, and manage GenAI platforms leveraging Google Vertex AI
- Develop reusable platform components and services for:
- LLM orchestration
- Prompt management
- RAG pipelines
- Enable scalable deployment of LLM-powered applications across teams
- Build internal frameworks, APIs, and SDKs for AI use cases

GenAI Application Development
- Develop AI applications using:
- LangChain, LangGraph
- RAG (Retrieval-Augmented Generation) pipelines
- Build use cases such as:
- AI copilots
- Conversational agents
- Document intelligence systems
- Integrate models via:
- Vertex AI (Gemini models)
- OpenAI APIs / Azure OpenAI
- AWS Bedrock

2

Python Development (Core Requirement)

- Build scalable backend services using Python
- Use frameworks such as:
- FastAPI / Flask
- Develop orchestration layers for multi-step GenAI workflows (LangGraph)
- Write clean, modular, and reusable code for AI systems

📌 Python + Gen AI Automation (Chennai)
🏢 Tata Consultancy Services
📍 Chennai