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