Python Backend Developer - AI

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.

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

- 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.