Senior Python AI Software Engineer [$323k/yr+]

• Architect and implement agentic AI platforms, Model Context Protocol (MCP) servers, and scalable integration frameworks using Python and Kubernetes.
• Integrate large language models (LLMs) and enterprise APIs into backend services leveraging retrieval-augmented generation (RAG) and function-calling capabilities.
• Develop automated testing pipelines, robust safety guardrails, and data sanitization protocols for production AI systems., * Design and develop core Python-based backend components and agentic workflows.
• Deploy, manage, and scale containerized applications efficiently within Kubernetes environments.
• Build Model Context Protocol (MCP) servers and reusable skill libraries enabling AI agents to interact with internal and external services.
• Implement enterprise AI guardrails, sensitive data scrubbing, prompt injection defenses, and output validation.
• Design RESTful web services, microservices architectures, and API integrations across diverse technology stacks.
• Establish automated testing pipelines and observability mechanisms tailored for non-deterministic AI outputs.

Telework: A hybrid work arrangement is supported, requiring an average of 1-2 days per week on-site.

• Degree: Technical master’s degree or equivalent experience
• Years of experience: 14+ years
• Total Compensation: $323k+ yearly