Senior AI Engineer (SWE3)

Wyetech•Linthicum Heights, MD

About The Position

Wyetech is hiring a Senior AI Engineer (Software Engineer Level 3) to support its AI and Emerging Technologies mission. The role develops and integrates AI-driven solutions, including Large Language Models, to improve vulnerability identification and mitigation and support certification processes in secure mission environments. The engineer analyzes, designs, verifies, validates, implements, and maintains software systems, applying relevant computer science principles to complex systems. The position includes developing LLM orchestration frameworks, retrieval-augmented generation architectures, data engineering pipelines, database solutions, automated testing capabilities, and AI-powered analytical tools. The engineer collaborates with mission stakeholders, technical leadership, and systems engineers to define requirements, deploy secure and scalable solutions, and support security assessments and Authority to Operate processes. The role also involves producing documentation and training and presenting technical briefings and demonstrations. Candidates must be U.S. citizens and hold an active TS/SCI clearance with Fullscope Polygraph. They must meet one of the specified education and experience combinations: a bachelor's degree and eight years of relevant experience; a master's degree and six years; a doctoral degree and four years; or, potentially, an associate's degree and ten years of directly related experience. Degrees must be in Computer Science or a qualifying related discipline, subject to the stated coursework criteria. Relevant experience must include software development and programming across requirements analysis, design, implementation, testing, integration, deployment or installation, and maintenance. The listed hourly pay range is $93.48–$126.58. Wyetech notes that actual compensation depends on factors including contract rates, education, experience, skills, certifications, and location. The role offers a SEP IRA contribution, PTO, voluntary benefit plans, referral bonuses, mobility among supported contracts, team events, and branded clothing orders.

Requirements

Strong proficiency in Python, AI/ML development, LLM integration, and data engineering.
Experience developing, fine-tuning, and integrating LLMs for mission-specific analytical capabilities.
Experience designing and maintaining LLM orchestration frameworks that integrate static analyzers, 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 for RAG architectures, artifact storage, metadata management, and audit trails.
Experience designing, deploying, and optimizing AI-powered applications and networked tools in 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 ATO processes.
U.S. citizenship required.
Active TS/SCI clearance with Fullscope Polygraph required.
Meet one education and experience combination: bachelor's degree in Computer Science or qualifying related discipline plus eight years of relevant experience; master's degree plus six years; doctoral degree plus four years; or an associate's degree plus ten years of directly related experience may be considered.
Degree must be in Computer Science or a qualifying related discipline. Related degrees may be considered when coursework includes foundational computer science subjects, and IT or IS 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 or installation, and maintenance.

Nice To Haves

Familiarity with Rust programming.
Experience with AI-assisted development tools such as Claude Code and Codex.
Familiarity with CI/CD pipelines.
Formal or informal technical leadership experience.

Responsibilities

Analyze, design, verify, validate, implement, and maintain complex software systems supporting AI/ML mission requirements.
Design and develop LLM orchestration frameworks, RAG architectures, and AI-driven analytical tools.
Develop and optimize data engineering pipelines, database solutions, and automated testing capabilities.
Integrate AI/ML technologies with software analysis tools to improve vulnerability identification and mitigation.
Collaborate with systems engineers to deploy secure, scalable AI solutions and support security assessments and ATO requirements.
Develop technical documentation, provide training, and present briefings and demonstrations to stakeholders.
Apply discrete mathematics, probability, statistics, and other relevant computer science principles to complex software systems.
Generalize techniques across domains and communicate technical work to stakeholders.

Benefits

Company contribution of 20% of gross compensation to a SEP IRA, with no employee matching requirement and contributions fully vested from day one.
PTO plan of up to 200 hours annually, with flexibility to adjust PTO allocation at the start of each calendar year.
Voluntary medical plan options, some with a Health Savings Account.
Vision and dental benefits.
Life and AD&D benefits.
Short- and long-term disability insurance.
Hospital indemnity, accident, and critical illness insurance.
Optional identity theft and legal protection services.
Employee referral bonus eligibility up to $10,000.
Mobility among Wyetech-supported contracts.
Team-building events, including monthly lunches, a summer company picnic, and an annual holiday party.
Two complimentary branded clothing orders annually.