Experience required
- Bachelor's: 5+ years
- Master's: 5+ years
About the role
polygraph within 7 years required
LCAT Description: The Software Engineer designs, develops, tests, deploys, documents, maintains, and enhances complex and diverse software systems based upon documented requirements. These systems might include, but are not limited to, processing intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, business management information systems, and systems which incorporate data repositories, data transport services, and application and systems development and monitoring. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Open Source Software (OSS) and/or Commercial OffThe-Shelf (COTS) Government Off-The-Shelf (GOTS) software in place of new development, and requirements analysis and synthesis from system level to individual software components. Experience developing in Unix. Ability to perform shell scripting. Working knowledge of Configuration Management (CM) tools and Web Services implementation. 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. OR 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 OR Nine (9) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
position description
The Software Engineer 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.
Qualifications
Position 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 Position 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)
Clearance: TS/SCI w/Poly