Job description

Software Engineer - AI Integration We are seeking a Software Engineer with a focus on AI to support analysts and operators by developing and refining the software that integrates AI capabilities into advanced security operations workflows. In this role, you will integrate diverse data sources and external APIs with MCP tools to enable seamless, scalable system interoperability. You will work under the guidance of senior engineers to ensure AI tools are stable, reliable, and seamlessly integrated into the customer's existing toolset. 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. Required Skills: • Proficiency in Python, particularly in handling JSON, interacting with REST APIs, and data manipulation. • Experience leveraging HTTP-based APIs to access data through queries. • Understanding of AI development concepts, including prompt engineering, context management, structured outputs, and tool/function calling. • Experience with software source control (Git) and the Atlassian tool suite (Jira, Confluence). • Experience with presenting data analysis results to customers. • Familiarity with Gitlab CICD automation. Nice to Have: • Experience with agentic workflows and multi-agent orchestration. • Basic knowledge of end-to-end signals intelligence collection and analysis systems. • Background in cybersecurity or understanding of security operations workflows. • Familiarity with retrieval systems (RAG, vector databases, semantic search). • Familiarity with production offensive security operations capabilities and operations. • Practical experience in one or more artificial intelligence domains (e.g., intelligent systems, autonomy, planning, LLMs). Experience Required: 8 years with Bachelor's degree in a technical field, or 12 years without degree Location: Columbia, MD Clearance: TS/SCI with Polygraph required Salary Range: $148,000 - $177,000

Requirements

Must-haves

Software Engineer - AI Integration
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.
Proficiency in Python, particularly in handling JSON, interacting with REST APIs, and data manipulation.
Experience leveraging HTTP-based APIs to access data through queries.
Understanding of AI development concepts, including prompt engineering, context management, structured outputs, and tool/function calling.
Experience with software source control (Git) and the Atlassian tool suite (Jira, Confluence).
Experience with presenting data analysis results to customers.
Familiarity with Gitlab CICD automation.
Experience Required: 8 years with Bachelor's degree in a technical field, or 12 years without degree
Clearance: TS/SCI with Polygraph required

Nice-to-haves

Experience with agentic workflows and multi-agent orchestration.
Basic knowledge of end-to-end signals intelligence collection and analysis systems.
Background in cybersecurity or understanding of security operations workflows.
Familiarity with retrieval systems (RAG, vector databases, semantic search).
Familiarity with production offensive security operations capabilities and operations.
Practical experience in one or more artificial intelligence domains (e.g., intelligent systems, autonomy, planning, LLMs).
Location: Columbia, MD

Application prep

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Keywords to mirror

aipythonrestjira

Platform: neural-solutions
Effort: medium