Description

Captivation Software is looking for a senior level software engineer who shall be responsible for the design, development, and deployment of next generation AI tooling and automation capabilities. This position focuses on integrating Model Context Protocol (MCP), large language models (LLMs), vector search systems, and AI driven workflow orchestration into robust, scalable secure software solutions. The Software Engineer shall develop advanced automation components, optimize model performance, and develop reusable tools that enhance AI‑enabled system capabilities across the enterprise

Requirements

Security Clearance:

• Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U.S. citizen

Minimum Qualifications:

• Master's degree in Computer Science or related discipline from an accredited college or university, plus five (5) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
• Bachelor's degree in Computer Science or related discipline from an accredited college or university, plus seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity
• Nine (9) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.

Required Skills:

• Experience using the Linux CLI and associated Linux tools
• Experience developing Bash scripts to automate development and operational workflows
• Recent software development experience with Python
• Experience implementing Model Context Protocol (MCP) clients, servers, or tools, including context injections, capability negotiation, and model-driven workflows
• Experience with designing, developing, and maintaining AI-enabled software components that leverage MCP, LLM APIs/models, vector search systems, and workflow automation frameworks
• Experience working with latency analysis, model performance profiling, and detection of hallucinations or unreliable model outputs
• Experience with developing and tuning LLM-based inference workflows for reasoning, summarization, data extraction, and agentic automation
• Experience developing reusable, secure tools that integrate with internal and external applications, APIs, or knowledge systems
• Experience using Git for source control and collaborative development

Desired Skills:

• Familiar with Distributed Big Data processing engines including Apache Spark
• Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate, schedule, and monitor complex workflows
• Experience with SQL technologies such as MySQL, MariaDB, and PostgreSQL for querying, joining, and aggregating large datasets
• Experience using the Atlassian Tool Suite (JIRA, Confluence)

This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms.