Tasks:
- * Build AI tools and agentic workflows
- * Develop Python-based agentic integrations for production
- * Elicit requirements from mission stakeholders
- * Identify and extract relevant information from customer data
- * Integrate AI models APIs and data sources
- * Integrate external APIs and MCP tools
- * Present data analysis results to customers
- * Support AI integration into CNO workflows
- * Test software workflows
- * Troubleshoot workflow issues and recommend fixes
Perks/Benefits:
- + 100% employee healthcare coverage
- + 10% employer 401(k) contribution
- + 11 federal holidays
- + 24 days of annual PTO
- + 401(k) fully vested on start date
- + 50% dependent healthcare coverage
- + Coverage for job-related training and certifications
- + Educational assistance for college classes
Skills/Tech stack required:
[Agentic Workflows] [Agent Orchestration] [AI Development] [CI/CD] [Confluence] [Context Management] [Cybersecurity] [Data integration] [Data Manipulation] [DeepAgents] [Function Calling] [Git] [GitLab CI] [GitLab CI/CD] [HTTP APIs] [Jira] [JSON] [Langgraph] [Language Models (LLMs)] [Large Language Models] [Large Language Models (LLMs)] [Model Context Protocol] [Model Context Protocol MCP] [Multi-Agent] [Multi-agent orchestration] [Prompt engineering] [Protocol MCP] [PydanticAI] [Python] [REST APIs] [Retrieval-Augmented Generation] [Retrieval-Augmented Generation RAG] [Security operations] [Semantic Search] [SIGINT] [Structured outputs] [Tool-Calling] [Vector Databases]
Educational requirements:
[Bachelor's Degree]
Role(s):
[AI Software Engineer] [Engineer] [Software Engineer]