Python Backend Developer - AI

JobCubby; Pune District; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

JobCubby in Pune, India, seeks an experienced Back-End/Full-Stack Engineer skilled in Python and FastAPI to design and implement scalable server-side services. You will build robust APIs, integrate with AWS, and collaborate with front-end teams using React and Angular.

You bring practical knowledge of MongoDB, DevOps, CI/CD, and agile methodologies. You will participate in architecture discussions, optimize performance, and contribute to AI-enabled features via prompt engineering and AI tools.

Qualifications

• Proficient in Python and Fast API development.

Responsibilities

• Back-End Development: design, build, and maintain efficient, reusable, and reliable server-side code using Python and Fast API.
• Fast API & Cloud Integration: develop high-performance APIs with Fast API, integrating with AWS cloud services such as SQS and Lambda.
• Front-End Development: build engaging and responsive user interfaces using front-end technologies including React JS and Angular JS.
• Database Management: manage and optimize data storage solutions using MongoDB.
• AI Integration & Prompt Engineering: utilize experience in prompt engineering and AI-driven development tools to enhance development efficiency.
• System Architecture & DevOps knowledge: in-depth understanding of OO programming, design patterns, development, and deployment, and DevOps with CI/CD pipelines.
• Performance & Troubleshooting: troubleshoot existing scripts, perform bug fixes, and optimize performance.
• Collaboration & Agile Methodologies: work in an Agile/Scrum environment using Jira and Git.

Skills

Python

Fast API

RESTful API design

Django or Flask

AWS

Kafka

React JS / Angular JS

DevOps / CI-CD

Agile / Scrum

Git / Jira

OO programming / Design patterns

Prompt engineering

Gen AI tools

Team collaboration

Tools

Django

Flask

MongoDB

React JS

Angular JS

AWS SQS

AWS Lambda

Kafka

GitHub Copilot

Cursor

Jira

Git

CI/CD

Job description

• Expert knowledge in Python programming language; experience with web/RESTful responses and frameworks (Django or Flask).
• Commendable experience in Fast API development.
• Experience in AWS cloud services like SQS, Lambda, etc.
• Experience in Kafka.
• Experience in Prompt engineering (system prompts & user prompts).
• Proven experience in AI-driven development using GitHub Co-pilot, Cursor, etc.
• Experience with front-end React JS, Angular JS and integration areas / Backend – Mongo DB.
• Good understanding of application performance tuning and resource usage.
• Ability to troubleshoot existing scripts and do point bug fixes / application redesign.
• In-depth understanding of the entire web development process (Object Oriented programming, design patterns, development, and deployment).
• Good knowledge in DevOps practices, CI/CD is required.
• Experience in Agile and Scrum methodologies.
• Knowledge of project and task tracking tools such as Jira, Git.
• Strong communication and teamworking skills.

Responsibilities

• Back-End Development: Design, build, and maintain efficient, reusable, and reliable code for our server-side applications using Python and Fast API.
• Fast API & Cloud Integration: Develop high-performance APIs with Fast API, integrating with AWS cloud services such as SQS and Lambda.
• Front-End Development: Build engaging and responsive user interfaces using front-end technologies including React JS and Angular JS.
• Database Management: Manage and optimize data storage solutions using MongoDB.
• AI Integration & Prompt Engineering: Utilize experience in prompt engineering (system prompts & user prompts) and AI-driven development tools like GitHub Co-pilot and Cursor to enhance development efficiency and integrate AI features into applications.
• System Architecture & DevOps knowledge: In-depth understanding of the entire web development process (Object Oriented programming, design patterns, development, and deployment) and DevOps practices, including CI/CD pipelines.
• Performance & Troubleshooting: Troubleshoot existing scripts, perform point bug fixes, and conduct application performance tuning and resource usage optimization.
• Collaboration & Agile Methodologies: Collaborate with cross-functional teams in an Agile and Scrum environment, utilizing tools like Jira and Git for project and task tracking.

Qualifications

• Good exposure to Gen AI tools and Agentic development workflows.
• Industry best practices with Security domain knowledge