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:
- 3-6 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