Python AI, AWS

Design, develop, and maintain Python-based applications using object-oriented programming principles and best practices.
Build and optimize RESTful APIs using FastAPI for high-performance backend services.
Work extensively with data structures (lists, tuples, dictionaries, sets) for efficient data processing.
Perform data analysis and manipulation using Pandas, NumPy, and DataFrames.
Implement file handling solutions for PDF, CSV, Excel, Word, and other structured/unstructured formats.
Develop data visualization components using Matplotlib for reporting and insights.
Integrate AWS services such as S3, Aurora PostgreSQL, and Lambda to build scalable and serverless solutions.
Use Boto3 for AWS service automation and cloud resource management.
Design and implement AI-powered features leveraging OpenAI APIs and large language models.
Build intelligent workflows using LangChain, LangGraph, and Pydantic AI.
Integrate and fine-tune LLMs such as ChatGPT-5, Claude Sonnet 4.5, and AWS Nova for enterprise use cases.
Ensure application security, performance optimization, logging, and monitoring.
Collaborate with cross-functional teams including product, data, and cloud architects.
Participate in code reviews, mentoring junior engineers, and enforcing coding standards.

Required qualifications to be successful in this role:

Required qualifications to be successful in this role
Must to have skills:
Strong proficiency in Python with deep understanding of OOP concepts.
Hands-on experience with FastAPI for backend/API development.
Solid knowledge of Pandas, NumPy, and DataFrames.
Experience in file processing (PDF, CSV, Excel, Word).
Working knowledge of Matplotlib for data visualization.
Experience with AWS services:
Amazon S3
Aurora PostgreSQL
AWS Lambda
Proficiency in Boto3 for AWS automation.
Hands-on experience with AI/LLM frameworks:
LangChain
LangGraph
Pydantic AI
Practical experience working with LLMs such as:
ChatGPT-5
Claude Sonnet 4.5
AWS Nova

Good to Have
Experience in serverless architectures.
Knowledge of prompt engineering and LLM orchestration.
Familiarity with CI/CD pipelines and DevOps practices.
Experience in productionizing AI solutions.
Exposure to microservices architecture.

Soft Skills
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Ability to work independently and mentor junior team members.
Adaptability to fast-changing AI and cloud technologies.