Level / Experience: Senior Associate (SA) | 4 to 7 Years
Job Overview: Join our team as a Python Agentic Engineer to pioneer the orchestrating of intelligent, multi-agent frameworks. This position focuses heavily on developing complex multi-agent workflows using top-tier frameworks like LangChain, CrewAI, and AutoGen. You will build and optimize high-throughput backend services using FastAPI while utilizing Azure OpenAI models to power business logic. The infrastructure demands a cloud-native qualified who can orchestrate these agents inside Kubernetes clusters and manage multi-cloud infrastructure dynamically via Terraform. You will also manage vector databases to facilitate efficient semantic memory for enterprise integrations, ensuring that disparate software systems communicate flawlessly with your AI agents.
Key Responsibilities:
Build and manage multi-agent frameworks using LangChain, CrewAI, and AutoGen .
Develop robust, asynchronous backend services using Advanced Python and FastAPI .
Deploy and scale cloud-native applications across multi-cloud systems (Azure & AWS) .
Automate infrastructure provisioning with Terraform and manage container systems via Kubernetes .
Implement and maintain Vector Databases to power contextual memory for enterprise integrations.