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Full Stack Engineer

2 weeks ago


Bengaluru, Karnataka, India Skan AI Full time ₹ 15,00,000 - ₹ 20,00,000 per year

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:

  • 4-6 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