Senior Applied AI Engineer

Applicants must already hold a TS/SCI clearance with a current Full Scope Polygraph before applying
. We are not sponsoring or processing clearances for this position
. Candidates who are seeking to obtain a clearance do not meet the minimum requirements.

Salary Range: $260k-$285k per year with an additional $65k-$71k in immediately vested company 401(k) contributions

We are seeking a Software Engineer to build and advance a cutting-edge agentic platform designed to power intelligent, autonomous workflows. In this role, you will integrate diverse data sources and external APIs with MCP tools to enable seamless, scalable system interoperability. You will collaborate closely with cyber analysts to translate operational challenges into effective technical solutions. The position involves hands-on development with agentic primitives such as skills, prompts, and subagents to create adaptive and context-aware capabilities.

This is an opportunity to work at the forefront of AI-driven systems, shaping how agents operate, learn, and deliver impact in complex environments.

• 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 Deep Agents.
• Work 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.

• 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.

• 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).
• Knowledge of end-to-end SIGINT collection and analysis systems.
• 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).

12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.