Senior Python Engineer

Responsibilities
Architect and implement backend systems for AI agent orchestration, including workflow logic, task routing, and error handling
Design and build scalable, containerized microservices to support real-time data processing and high-concurrency requests
Develop secure API gateways and data access layers for integration with enterprise systems such as SAP S/4HANA, Ariba, and external data providers
Create backend logic for knowledge retrieval, including integration with vector databases and retrieval-augmented generation (RAG) models
Construct connectors for external data feeds, managing rate limiting, caching, and data normalization
Implement security controls such as authentication, RBAC, and data redaction to meet defense-grade requirements
Optimize backend systems for on-premise and air-gapped deployments, ensuring efficient resource usage and reliability
Establish comprehensive logging, monitoring, and observability to support operational excellence and compliance
Collaborate with cross-functional teams to deliver robust, production-ready backend solutions for AI-driven platforms

Required Skills
Expert proficiency in Python (FastAPI or Django)
Strong experience with Go or Java for high-performance microservices
Deep knowledge of Docker and Kubernetes for containerization and orchestration
Advanced skills in designing RESTful APIs and gRPC services
Experience building and managing API Gateways (e.g., Kong, NGINX)
Proficiency with PostgreSQL and vector databases (e.g., Weaviate, Milvus)
Familiarity with enterprise integration protocols (OData, SOAP)
Strong understanding of authentication, RBAC, and data security best practices
Experience deploying and optimizing systems in on-premise or air-gapped environments
Proven ability to implement logging, monitoring, and observability in production systems