Senior Python Engineer

Job description

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