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Python AI Systems Engineer Job Opening In Bengaluru – Now Hiring Droisys


Job description

About Company,


Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution.

We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.


Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed.

At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients.

Join us to challenge yourself and accomplish work that matters


Role Overview


We are hiring a Python Full-Stack Engineer with a strong backend foundation to help us build scalable, secure, and intelligent systems.

You’ll be building at the core of AI innovation—working with Large Language Models (LLMs) and cutting-edge agent development frameworks like LangGraph, CrewAI, and the Model Context Protocol (MCP).

Our platform enables Agent-to-Agent communication and autonomous decision-making, moving beyond traditional LLM applications into structured, enterprise-grade action flows.

This is your chance to build the future of agentic AI systems and shape how intelligent agents collaborate, reason, and execute in real-world enterprise processes.


Key Responsibilities


- Develop scalable backend systems using Python (Django, FastAPI)


- Design and maintain secure RESTful APIs and backend services


- Model and manage data using relational databases and ORMs


- Build containerized services using Docker;
deploy and debug on Linux


- Integrate AI features using LLMs or external AI APIs


- Collaborate on frontend features using JavaScript/TypeScript and frameworks like Svelte, React, or Angular


- Implement unit and integration tests, CI/CD pipelines, and observability tools


- Ensure security, performance, and compliance across services.


Technical Skills:


- 6+ years of experience.


- Python, Django, FastAPI


- REST API design and development


- SQL databases (PostgreSQL/MySQL) and ORMs (Django ORM, SQLAlchemy)


- Docker, Git, CI/CD pipelines


- JavaScript/TypeScript (basic proficiency);
modern frontend frameworks


Bonus Points For


- Asynchronous Python (e.G., asyncio, FastAPI async routes)


- Event-driven architecture (Kafka, RabbitMQ)


- Kubernetes, Helm, or IaC tools (Terraform, Ansible)


- Security/auth (OAuth2, OpenID), RBAC


- Monitoring/observability (Prometheus, Grafana, ELK)


- Experience with AI model serving, ETL pipelines, or compliance standards


Droisys is an equal opportunity employer.

We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Python AI Potential: Insight & Career Growth Guide


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Are You Looking for Python AI Systems Engineer Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Droisys adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Python AI Systems Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Interview Tips for Python AI Systems Engineer Job Success

Droisys interview tips for Python AI Systems Engineer

Here are some tips to help you prepare for and ace your Python AI Systems Engineer job interview:

Before the Interview:

Research: Learn about the Droisys's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Final Thought:

To prepare for your Python AI Systems Engineer interview at Droisys, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Droisys's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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