AI Integration Engineer—Security Operations (TS/SCI)

Neural Solutions; Columbia (MD); On-site; USD 148,000 - 177,000; Full time

Job summary

Neural Solutions in Columbia, MD, is seeking a Software Engineer focused on AI integration to help analysts and operators by embedding AI capabilities within security workflows. You will work with senior engineers to ensure AI tools are stable and seamlessly plug into customers' toolsets.

Responsibilities include building agentic integrations in Python, maintaining production-grade AI workflows, and collaborating with stakeholders to elicit requirements and deliver robust solutions.

Qualifications

• 8 years of experience with a Bachelor's degree in a technical discipline (or 12 years without a degree).
• Proficiency in Python and JSON handling.
• Experience with REST APIs and data manipulation.
• Knowledge of AI development concepts including prompt engineering and tool calling.
• Experience with Git and Atlassian tools (Jira, Confluence).
• Experience presenting data analysis results to customers.
• Familiarity with Gitlab CI/CD automation.

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 PydanticIA, Langgraph, and DeepAgents.
• Interact with mission stakeholders to elicit requirements and devise solutions.
• Navigate customer data types to identify and extract relevant information.
• Collaborate with other software engineers to test workflows, identify issues, and recommend pathways for fixes.

Skills

Python

REST APIs

JSON handling

Data manipulation

AI concepts

Prompt engineering

Context management

Structured outputs

Tool calling

Git

Jira/Confluence

Data visualization

Education

Bachelor's degree in a technical discipline

Tools

Gitlab CI/CD

Job description

Neural Solutions in Columbia, MD, is seeking a Software Engineer focused on AI integration to help analysts and operators by embedding AI capabilities within security workflows. You will work with senior engineers to ensure AI tools are stable and seamlessly plug into customers' toolsets.

Responsibilities include building agentic integrations in Python, maintaining production-grade AI workflows, and collaborating with stakeholders to elicit requirements and deliver robust solutions.