Job Summary

We are seeking an experienced Python Developer with a strong background in designing, developing, and deploying scalable applications. The ideal candidate should have hands-on experience with AWS cloud services and a solid understanding of AI integration, including working with AI/ML models, APIs, or Generative AI solutions. This role requires strong problem-solving skills, expertise in backend development, and the ability to build secure, high-performance applications.

Key Responsibilities

- Design, develop, test, and maintain scalable Python applications and APIs.
- Develop backend services using Python frameworks such as FastAPI, Flask, or Django.
- Build and integrate RESTful APIs and microservices.
- Deploy, manage, and optimize applications on AWS Cloud.
- Integrate AI/ML and Generative AI capabilities into applications using APIs and cloud AI services.
- Work with databases such as PostgreSQL, MySQL, MongoDB, or DynamoDB.
- Implement secure, scalable, and high-performance software solutions.
- Collaborate with cross-functional teams to define, design, and deliver new features.
- Troubleshoot production issues and optimize application performance.
- Follow best practices for code quality, testing, CI/CD, and documentation.

Required Skills





- 5+ years of experience in Python development.
- Strong expertise in Python 3.x.
- Experience with FastAPI, Flask, or Django.
- Strong understanding of REST APIs and Microservices architecture.
- Hands-on experience with AWS services such as:
- EC2
- Lambda
- S3
- API Gateway
- RDS
- DynamoDB
- IAM
- CloudWatch
- ECS/EKS (preferred)
- Experience with SQL and NoSQL databases.
- Familiarity with Docker and Kubernetes is an advantage.
- Experience with Git and CI/CD pipelines.
- Robust debugging and analytical skills.

Preferred Skills

- Experience integrating AI/ML or Generative AI solutions into enterprise applications.
- Hands-on experience with OpenAI APIs, Amazon Bedrock, AWS SageMaker, Anthropic Claude, Google Vertex AI, or Azure OpenAI.
- Knowledge of LangChain, LangGraph, LlamaIndex, RAG (Retrieval-Augmented Generation), vector databases (Pinecone, ChromaDB, FAISS), and prompt engineering.
- Experience with asynchronous programming and event-driven architectures.
- Familiarity with Infrastructure as Code (Terraform or AWS CloudFormation).
- Exposure to MLOps concepts and AI application deployment.

📌 Python Backend Engineer (Bengaluru)
🏢 JRD Systems
📍 Bengaluru