Python AI Developer

JRD Systems

Bengaluru

On-site

INR 3,000,000 - 5,400,000

Full time

5 hours ago
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Job summary

JRD Systems is seeking a Senior Backend Python Developer to design, build, and maintain scalable backend systems using Python and modern frameworks. The role emphasizes AWS cloud-native deployments, AI-enabled applications, and collaboration with product teams.

You will work on integrating AI platforms and ensuring security, reliability, and observability in production across microservices and APIs. This is a senior technical leadership position in a fast-paced environment.

Qualifications

  • 7+ years of software development experience using Python.
  • Strong experience building REST APIs and microservices with FastAPI/Flask/Django.
  • Hands-on AWS experience: Lambda, ECS/EKS, API Gateway, S3, DynamoDB, RDS, SQS/SNS, IAM, CloudWatch, Secrets Manager.
  • Experience building AI-powered applications and GenAI technologies.
  • Knowledge of LangChain, LangGraph, LlamaIndex and MCP is a plus.
  • Experience with Docker, Kubernetes, Git, CI/CD and observability tools.

Responsibilities

  • Design, develop, and maintain scalable backend applications, APIs, and microservices in Python.
  • Build and deploy cloud-native AWS apps (Lambda, ECS/EKS, API Gateway, S3, etc.).
  • Develop AI-enabled applications using LLMs and Generative AI.
  • Integrate applications with AI platforms (OpenAI, Anthropic, Bedrock, Gemini).
  • Mentor junior developers and participate in code reviews and CI/CD.

Skills

Python
REST APIs
FastAPI/Flask/Django
AWS
AI/Generative AI
Distributed systems
Containerization
Git/CI-CD
SQL/NoSQL databases
Mentoring/leadership

Education

Bachelors in CS/ IT

Tools

LangChain
LangGraph
LlamaIndex
MCP
Docker
Kubernetes
Git
CI/CD

Job description

Senior Backend Python Developer (AWS & AI)
Responsibilities
  • Design, develop, and maintain scalable backend applications, APIs, and microservices using Python.
  • Build and deploy cloud-native applications on AWS using services such as Lambda, ECS/EKS, API Gateway, S3, DynamoDB, RDS, SQS/SNS, and Step Functions, Bedrock etc.
  • Design, develop, and maintain AI-enabled applications by leveraging Large Language Models (LLMs) and Generative AI technologies.
  • Integrate applications with AI platforms and services such as OpenAI, Anthropic Claude, Amazon Bedrock, and Google Gemini.
  • Collaborate with product owners, architects, and cross-functional teams to translate business requirements into scalable technical solutions.
  • Ensure application security, reliability, observability, and scalability in production environments.
  • Develop automated testing frameworks and participate in CI/CD implementation and deployment automation.
  • Conduct code reviews, enforce engineering best practices, and mentor junior developers.
  • Troubleshoot and resolve application, cloud infrastructure in a timely manner.
  • Monitor and improve application performance, cloud resource utilization.
What You Will Need
  • 7+ years of software development experience using Python.
  • Strong experience building REST APIs and microservices using frameworks such as FastAPI, Flask, or Django.
  • Hands-on experience developing and deploying applications on AWS using services such as Lambda, ECS/EKS, API Gateway, S3, DynamoDB, RDS, SQS/SNS, IAM, CloudWatch, and Secrets Manager.
  • Practical experience building AI-powered applications, products, or enterprise solutions.
  • Experience working with Generative AI technologies, LLMs, prompt engineering, and AI application development.
  • Strong understanding of software architecture, distributed systems, and cloud native design principles.
  • Experience with relational and NoSQL databases such as PostgreSQL, MySQL, DynamoDB, MongoDB, or similar technologies.
  • Good to have hands-on experience with frameworks such as LangChain, LangGraph, LlamaIndex, and Model Context Protocol (MCP).
  • Good to have experience implementing Retrieval-Augmented Generation (RAG), vector databases, embeddings, and semantic search solutions.
  • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
  • Experience with version control systems (Git) and CI/CD pipelines.
  • Experience with observability and monitoring tools.
  • Ability to mentor junior developers and provide technical leadership.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Excellent communication and collaboration skills.
Education and Experience
  • Bachelor’s degree in Computer Science, Information Systems, Information
  • Technology, Engineering, or a related discipline, or equivalent practical experience.
  • 7+ years of software development experience using Python.
  • 3+ years of experience building and deploying cloud-native applications on AWS.
  • Hands-on experience designing and delivering production-grade AI-enabled applications and products.
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