Senior AI Engineer

Wyetech, LLC; Linthicum (MD); On-site; USD 129,000 - 174,000; Full time

Benefits offered by this job

SEP IRA with 20% contribution

200 hours PTO annually

Mobility among Wyetech contracts

Branding clothing orders

Referral bonus up to $10,000

Job summary

Wyetech, LLC seeks a Senior AI Engineer (SWE3) to design, build, and integrate AI/ML capabilities for vulnerability assessment and certification in secure environments. You will deliver production-ready software and AI tooling, including LLM-based solutions, with emphasis on secure deployment and ATO readiness.

The ideal candidate has strong Python and AI/ML experience, builds LLM integrations, and implements RAG frameworks and data pipelines.

Qualifications

• Advanced software development and programming with emphasis on AI/ML and secure deployments.
• Experience designing and delivering LLM-based analytical capabilities for mission contexts.
• Experience integrating static analyzers, RAG pipelines, and automated testing.

Responsibilities

• Analyze, design, verify, and maintain complex software systems supporting AI/ML mission requirements.
• Design and develop LLM orchestration frameworks and RAG architectures.
• Develop data pipelines and optimize data engineering for code and documentation artifacts.
• Integrate AI/ML with software analysis tools to strengthen vulnerability identification and mitigation.
• Collaborate to deploy secure AI solutions supporting ATO processes and security assessments.
• Create documentation, train staff, and deliver stakeholder briefings and demonstrations.
• Apply discrete math, probability, statistics to complex software systems.
• Generalize techniques across domains and produce training materials.

Skills

Python

AI/ML development

LLM integration

Data engineering

LLM orchestration frameworks

RAG architectures

Data preprocessing pipelines

Relational databases

Vector databases

Agile

Git

Jira

Confluence

Security Clearance TS/SCI

US Citizenship

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Doctoral degree in Computer Science

Associate's degree in Computer Science

Tools

Claude Code

Codex

Git

Jira

Confluence

Job description

Wyetech is seeking a Senior AI Engineer (SWE3) to help design, build, and integrate AI and ML capabilities for vulnerability identification, mitigation, and certification processes in secure mission environments. This role focuses on delivering production-ready software and AI tooling, including LLM-based solutions, with an emphasis on secure deployment, testing, and support for security assessments and Authority to Operate (ATO) requirements.

What you will do

• Analyze, design, verify, validate, implement, and maintain complex software systems that support AI/ML mission requirements.
• Design and develop LLM orchestration frameworks, retrieval-augmented generation (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 strengthen vulnerability identification and mitigation.
• Collaborate with systems engineers to deploy secure, scalable AI solutions and support security assessments and ATO requirements.
• Create technical documentation, provide training, and deliver stakeholder briefings and demonstrations.
• Apply principles from discrete mathematics, probability, statistics, and related computer science areas to complex software systems.
• Generalize techniques across multiple domains while producing documentation, training, and technical briefings and demonstrations.

Required qualifications

• 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 that integrate static analyzers, RAG, and automated testing pipelines.
• Experience building 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 within secure environments.
• Understanding of software performance profiling, optimization, scalability, and system integration.
• Familiarity with Agile development methodologies and tools including 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.
• Education and experience must meet one of the following combinations:
  • Bachelor's degree in Computer Science (or qualifying related discipline) plus 8 years of relevant experience.
  • Master's degree in Computer Science (or qualifying related discipline) plus 6 years of relevant experience.
  • Doctoral degree in Computer Science (or qualifying related discipline) plus 4 years of relevant experience.
  • Associate's degree in Computer Science (or qualifying related discipline) plus 10 years of relevant experience may be considered for individuals with in-depth, directly related experience.
• Degree must be in Computer Science or a qualifying related discipline, with coursework including foundational Computer Science subjects such as algorithms, computer architecture (not network architecture), programming methodologies and languages, data structures, logic and computation, and advanced mathematics.
• IT 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 activities including requirements analysis, software design, implementation, testing, integration, deployment/installation, and maintenance.
• Formal or informal leadership experience is preferred.
• Security Clearance: Active TS/SCI with Fullscope Polygraph required.
• Citizenship: United States Citizenship required.

Technologies you will work with

• Python, AI/ML, Large Language Models (LLMs), retrieval-augmented generation (RAG)
• Static analyzers, Agile, Git, Jira, Confluence
• Relational databases, vector databases, CI/CD pipelines
• Claude Code, Codex

Desirable skills

• 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.

Compensation and location

Location: Linthicum Heights, MD (onsite). Salary: USD 93.48-126.58 per hour (hourly pay range).

Benefits

• Simplified Employee Pension (SEP) IRA with an automatic 20% contribution of each employee's gross compensation and no requirement for employee matching
• All contributions fully vested from day one
• Generous PTO plan of up to 200 hours annually
• Voluntary benefit plan options including medical (some with HSA), vision and dental, life and AD&D, short and long-term disability, hospital indemnity, accident and critical illness coverage, and optional identity theft and legal protection services
• Employee Referral Bonus eligibility up to $10,000
• Mobility among Wyetech-supported contracts
• Work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS
• Team-building events throughout the year
• Two complimentary branded clothing orders annually