Software 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