Senior Applied AI Engineer (SWE3) [D.25.0082]

Responsibilities

• Develop agentic integrations with Python that leverage multiple AI models, APIs, and data sources in production.
• Build tools and agentic workflows within modern frameworks like PydanticAI, Langgraph, and DeepAgents.
• Collaborate directly with key stakeholders and cyber analysts to understand operational workflows and identify high-impact automation opportunities.
• Maintain and troubleshoot a production grade agentic platform.

Requirements

• 12+ years of professional software engineering experience, with a strong focus on AI and NLP and strong Python proficiency.
• Hands-on experience building and maintaining production applications servicing hundreds to thousands of users.
• Understanding of AI development concepts, including prompt engineering, context management, structured outputs, and tool/function calling.
• Experience developing resilient, scalable stream processing applications using modern messaging and event-streaming platforms.
• Experience leveraging AI coding assistants for code generation, refactoring, debugging, and automation.
• Experience with software source control (git) and Atlassian tool suite – Jira, Confluence.

Skills

• Experience with agentic workflows and multi-agent orchestration.
• Background in cybersecurity or understanding of security operations workflows.
• Managing deployments in AWS Cloud with Kubernetes.
• Gitlab CICD automation.
• Experience with retrieval systems (RAG, vector databases, semantic search).
• Analyzing cyber security-related data sets (network traffic, OS events).
• Experience with production CNO capabilities and operations.
• Practical experience in one or more artificial intelligence domains (e.g., intelligent systems, autonomy, planning, LLMs).
• Familiarity with cloud computing technologies (AWS, Docker, Kubernetes).