Senior AI Engineer; SWE
Listed on 2026-10-26
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Engineer
Wyetech is seeking a motivated Senior AI Engineer (SWE3) to support the AI and Emerging Technologies (AI&ET) mission. The ideal candidate will have a strong software engineering background and expertise in Artificial Intelligence/Machine Learning (AI/ML) technologies. This position focuses on developing and integrating AI-driven solutions, including Large Language Models (LLMs), to enhance vulnerability identification, mitigation capabilities, and certification processes within secure mission environments.
Required Skills/
Experience:
Strong proficiency in Python, AI/ML development, LLM integration, and data engineering.
Experience developing, fine-tuning, and integrating Large Language Models to support mission-specific analytical capabilities.
Experience designing and maintaining LLM orchestration frameworks integrating static analyzers, retrieval-augmented generation (RAG), and automated testing pipelines.
Experience developing data preprocessing pipelines to ingest, clean, transform, and vectorize source code, documentation, and testing artifacts.
Proficiency with relational and vector databases supporting RAG architectures, artifact storage, metadata management, and audit trails.
Experience designing, deploying, and optimizing AI-powered applications and networked tools within secure environments.
Understanding of software performance profiling, optimization, scalability, and system integration.
Familiarity with Agile development methodologies, Git, Jira, and Confluence.
Ability to collaborate with mission stakeholders, technical leadership, and systems engineers to develop requirements and support security assessments and Authority to Operate (ATO) processes.
Desirable
Skills:
Familiarity with Rust programming.
Experience with AI-assisted development tools such as Claude Code and Codex.
Familiarity with Continuous Integration/Continuous Deployment (CI/CD) pipelines.
Formal or informal technical leadership experience.
The Software Engineer shall analyze, design, verify, validate, implement, apply, and maintain software systems. Appropriately apply discrete mathematics, probability, statistics, and other relevant computer science principles to complex software systems. Generalize techniques across multiple domains, develop appropriate documentation and training, and present technical briefings and demonstrations to stakeholders.
Capabilities:
(U) Analyze, design, verify, validate, implement, and maintain complex software systems supporting AI/ML mission requirements.
(U) Design and develop LLM orchestration frameworks, RAG architectures, and AI-driven analytical tools.
(U) Develop and optimize data engineering pipelines, database solutions, and automated testing capabilities.
(U) Integrate AI/ML technologies with software analysis tools to enhance vulnerability identification and mitigation.
(U) Collaborate with systems engineers to deploy secure, scalable AI solutions and support security assessments and ATO requirements.
(U) Develop technical documentation, provide training, and present briefings and demonstrations to stakeholders.
Qualifications:
Candidates must meet one (1) of the following education and experience combinations:
Bachelor's degree in Computer Science or a qualifying related discipline plus eight (8) years of relevant experience.
Master's degree in Computer Science or a qualifying related discipline plus six (6) years of relevant experience.
Doctoral degree in Computer Science or a qualifying related discipline plus four (4) years of relevant experience.
Associate's degree in Computer Science or a qualifying related discipline plus ten (10) years of relevant experience may be considered for individuals with in-depth, directly related experience.
Degree requirements:
Degree must be in Computer Science or a qualifying related discipline.
Related degrees, including Engineering and Mathematics, may be considered if coursework includes foundational Computer Science subjects: algorithms, computer architecture (not network architecture), programming methodologies and languages, data structures, logic and computation, and advanced mathematics.
Information Technology or Information Systems degrees may be considered if coursework is equivalent in amount and type to a Computer Science major.
Relevant experience must include software development and programming, including requirements analysis, software design, implementation, testing, integration, deployment/installation, and…
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