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 robust 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.
Robust 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 (India)
🏢 JRD Systems
📍 India