Python Full Stack Engineer

• Bachelor's degree in computer science, Information Technology, or a related field
• Developed and maintained scalable Python-based microservices and REST/gRPC APIs for enterprise applications.
• Designed and implemented AI-powered solutions using Large Language Models (LLMs), prompt engineering, and agentic AI frameworks.
• Integrated OpenAI, LangChain, and LangGraph to build intelligent workflow automation and AI agent orchestration systems.
• Built and deployed cloud-native applications on AWS/Azure using Docker and Kubernetes.
• Developed backend services using FastAPI/Flask with emphasis on performance, scalability, and security.
• Implemented CI/CD pipelines using Jenkins, GitHub Actions, and Azure DevOps to automate application deployment.
• Utilized Terraform/CloudFormation for Infrastructure as Code (IaC) and cloud resource provisioning.
• Designed event-driven architectures using Kafka and asynchronous messaging patterns.
• Integrated vector databases and retrieval systems to support RAG (Retrieval-Augmented Generation) applications.
• Implemented observability and monitoring solutions using Datadog, Splunk, and OpenTelemetry.
• Developed automated unit, integration, and end-to-end test frameworks to ensure platform reliability.
• Optimized application performance using Redis caching, asynchronous Python programming, and distributed processing techniques.
• Collaborated with ML Engineers and Solution Architects to integrate AI models into production environments.
• Participated in production support, troubleshooting, incident management, and on-call rotations.
• Followed Agile methodologies, conducting code reviews, sprint planning, and continuous improvement initiatives.

Required Skills: Python, AWS, LLM, and AI