Gen AI, Python Engineer

Design, develop, and maintain scalable Python applications following object-oriented programming (OOP) principles and software engineering best practices.
Develop and optimize high-performance RESTful APIs using FastAPI.
Design robust backend services with a focus on scalability, security, and maintainability.
Develop efficient data processing pipelines using Python data structures and algorithms.
Perform data analysis and transformation using Pandas, NumPy, and DataFrames.
Build file processing solutions for PDF, CSV, Excel, Word, and other structured and unstructured document formats.
Develop data visualization and reporting capabilities using Matplotlib.
Design and implement cloud-native solutions leveraging AWS services.
Integrate and manage Amazon S3, Amazon Aurora PostgreSQL, and AWS Lambda for scalable application development.
Automate AWS services using Boto3.
Design and implement AI-powered features using OpenAI APIs and enterprise-grade Large Language Models (LLMs).
Build intelligent workflows using LangChain, LangGraph, and Pydantic AI.
Develop AI solutions utilizing modern LLMs such as ChatGPT-5, Claude Sonnet 4.5, and AWS Nova.
Optimize prompt engineering strategies and LLM orchestration for enterprise applications.
Implement application security, logging, monitoring, and performance optimization best practices.
Collaborate with product owners, architects, cloud engineers, and cross-functional teams throughout the software development lifecycle.
Participate in technical design discussions, code reviews, mentoring, and continuous improvement initiatives.

Required qualifications to be successful in this role:

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
5+ years of experience in Python application development.
Strong expertise in object-oriented programming (OOP) and Python development best practices.
Hands-on experience developing RESTful APIs using FastAPI.
Strong understanding of Python data structures, algorithms, and efficient data processing techniques.
Experience working with Pandas, NumPy, and DataFrames for data analysis and manipulation.
Experience processing structured and unstructured files including PDF, CSV, Excel, and Word documents.
Working knowledge of Matplotlib or similar data visualization libraries.
Hands-on experience with AWS cloud services, including:
Amazon S3
Amazon Aurora PostgreSQL
AWS Lambda
Experience using Boto3 for AWS service integration and automation.
Hands-on experience with AI and LLM frameworks, including:
LangChain
LangGraph
Pydantic AI
Practical experience integrating and developing applications using enterprise LLMs such as:
ChatGPT-5
Claude Sonnet 4.5
AWS Nova
Experience implementing secure, scalable, and production-ready backend applications.
Preferred Qualifications
Experience designing and implementing serverless architectures on AWS.
Knowledge of prompt engineering and LLM orchestration techniques.
Experience building Retrieval-Augmented Generation (RAG) applications.
Familiarity with vector databases and semantic search technologies.
Experience with Docker and containerized deployments.
Experience working with CI/CD pipelines.
Knowledge of microservices architecture and distributed systems.
Experience implementing application monitoring, logging, and observability solutions.
Experience writing unit, integration, and API tests.
Skills
Strong analytical and problem-solving abilities.
Excellent debugging and performance optimization skills.
Strong understanding of software design patterns and clean architecture.
Excellent communication and stakeholder management skills.
Ability to mentor junior engineers and provide technical leadership.
Experience working in Agile/Scrum development environments.
Desired Competencies
Passion for AI, Generative AI, and cloud-native application development.
Ability to design scalable and maintainable enterprise solutions.
Strong ownership, accountability, and collaboration skills.
Continuous learning mindset with the ability to evaluate and adopt emerging AI technologies.
Commitment to delivering high-quality, secure, and innovative software solutions.