- Monthly compensation: 45,00055,000
- 3–4 hours per day engagement.
- On-site work at Marathahalli, Bangalore.
- Opportunity to work on a Generative AI + AWS project.
- Hands-on exposure to LangGraph, AWS Bedrock, Aurora PostgreSQL, Redis, ECS Fargate, and Terraform.
- Prospect to work on a real-world AI chatbot/LLM project.

Role & Responsibilities
- Develop and maintain a LangGraph-based AI chatbot using Python and Generative AI/LLM technologies.
- Integrate AWS Bedrock for foundation/LLM model capabilities.
- Develop chatbot workflows, agent orchestration, and conversation management using LangGraph.
- Use Aurora PostgreSQL to store and manage conversation memory.
- Use Redis for runtime operations, caching, and fast-access application data.
- Deploy and manage the application using AWS ECS Fargate.
- Use Terraform for Infrastructure as Code (IaC) and AWS infrastructure management.
- Work with Docker/containerization for application deployment.
- Troubleshoot application, cloud, database, and runtime issues.




- Provide daily project support for approximately 34 hours per day.

Preferred Candidate Profile
- Strong hands-on experience in Python and Generative AI/LLM applications.
- Practical experience with LangGraph and AI chatbot/agent development.
- Experience working with AWS Bedrock and AWS cloud services.
- Hands-on knowledge of Aurora PostgreSQL and Redis.
- Experience with AWS ECS Fargate and containerized applications.
- Good understanding of Terraform / Infrastructure as Code.
- Experience with Docker and cloud deployment.
- Candidates who can independently handle the project with minimal training are preferred.
- Must be available for 3-4 hours per day.
- Location: Marathahalli, Bangalore.
- Work: On-site at the person's location in Marathahalli, Bangalore.

How to Apply Interested candidates can share their updated CV at:

[email protected] [email protected]

📌 Python Freelancer(Job Support) (Bengaluru)
🏢 Mahvenx It Solutions Pvt.ltd
📍 Bengaluru