Applied AI Engineer

Job Title: Applied AI Engineer (Senior Principal Engineer)

Job Summary:

We are looking for an experienced Applied AI Engineer to design, develop, and deploy production-ready AI agents and intelligent workflows that automate enterprise security processes. The ideal candidate should have strong software engineering expertise and hands-on experience building and maintaining agentic AI systems in production.

Key Responsibilities:

• Design and develop AI agents, tool calling, agent orchestration, and state management.
• Implement LLM-based solutions using RAG, retrieval, context engineering, memory, and structured outputs.
• Build integrations with enterprise systems using REST/GraphQL APIs, MCP servers, and event-driven architectures.
• Develop automated tests, evaluation frameworks, and regression suites to ensure reliable AI behavior.
• Optimize AI applications for latency, token consumption, cost, and scalability.
• Implement monitoring, logging, distributed tracing, and production troubleshooting.
• Secure AI systems against prompt injection, tool misuse, and unintended data exposure.
• Collaborate with security teams to redesign manual processes into scalable AI-native workflows.

Required Skills:

• 12+ years of software engineering experience with production system ownership.
• Strong Python programming and proficiency in TypeScript/JavaScript, Go, or an equivalent language.
• Hands-on experience building and deploying agentic AI systems in production.
• Strong knowledge of LLMs, RAG, agent frameworks, tool calling, and MCP.
• Experience with APIs, CI/CD, automated testing, observability, and containerized deployments.
• Understanding of AI security, failure handling, and enterprise integrations.