Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is looking for software developers who can get stuff done while making a difference in support of the mission to protect our country.
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
RequirementsSecurity 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
- 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.
- 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
- 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.
- Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience)
- Up to 20% 401k contribution (No Matching Required and Vested from Day 1)
- Above Market Hourly Rates
- $3,600 HSA Contribution
- 6 Weeks Paid Time Off
- Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D
Skills Required
- Must currently hold an active Top Secret/SCI U.S. Government security clearance with a favorable Polygraph; must be a U.S. citizen.
- Education/experience: Master's in CS (or related) +5 years, OR Bachelor's +7 years, OR 9 years SWE experience in similar programs/contracts.
- 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 (context injections, capability negotiation, model-driven workflows).
- Experience designing, developing, and maintaining AI-enabled components leveraging MCP, LLM APIs/models, vector search systems, and workflow automation frameworks.
- Experience with latency analysis, model performance profiling, and detection of hallucinations or unreliable model outputs.
- Experience 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.
- Familiarity with JavaScript, React, Jupyter, JSON, and NumPy (listed in job title/stack).
- Familiarity with Distributed Big Data processing engines (Apache Spark).
- Experience using Apache Airflow (DAG design, scheduling, operators, sensors).
- Experience with SQL technologies such as MySQL, MariaDB, PostgreSQL.
- Experience using the Atlassian Tool Suite (JIRA, Confluence).
What We Do
Build something to be proud of. Captivation is focused on engineering digital solutions for mission makers. We deliver software engineering expertise across a broad spectrum of disciplines, collaborating to solve problems with the agility and efficiency of a small business. Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is a small, developer-oriented company that embraces the progressive attitude you would expect at a tech startup. We value transparency in the employer-employee relationship, and aim to empower our team through a flattened company structure. We actively pursue the most interesting work the Intelligence Community has to offer. Our team works with leading software technologies to create awesome solutions for happy clients.
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