Job description

Software Engineer We are seeking a Software Engineer to build and advance a cutting-edge agentic platform designed to power intelligent, autonomous workflows. This role involves integrating diverse data sources and external APIs with MCP tools to enable seamless system interoperability. 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. • 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. Required Skills: • 12+ years of professional software engineering experience, with 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. Nice to Have: • Background in cybersecurity or understanding of security operations workflows. • Managing deployments in AWS Cloud with Kubernetes. • Gitlab CICD automation. • Analyzing cyber security-related data sets (network traffic, OS events). Experience Required: 12 years with Bachelor's degree in a technical discipline or 16 years without degree Location: Columbia, MD Clearance: TS/SCI with Polygraph required Salary Range: $204,000 - $247,000

Requirements

Must-haves

Software Engineer
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.
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 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 Required: 12 years with Bachelor's degree in a technical discipline or 16 years without degree
Clearance: TS/SCI with Polygraph required

Nice-to-haves

Background in cybersecurity or understanding of security operations workflows.
Managing deployments in AWS Cloud with Kubernetes.
Gitlab CICD automation.
Analyzing cyber security-related data sets (network traffic, OS events).
Location: Columbia, MD

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonaijiraawskubernetes

Platform: neural-solutions
Effort: medium