Python Full Stack Engineer
5 days ago
Job Title – Python Full Stack Engineer
Location – Bangalore, India – Bannerghatta Main Road, Arakere (WFO)
Experience – 7+ Years
Employment Type – Fulltime
Notice Period – Immediate Joiner
Budget – Upto 35 LPA
Role Overview:
We are hiring a 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:
• 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:
• 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
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