Software Engineer (AI Engineer) (Mid Level) - FULLY CLEARED with with Security Clearance

Constellation Technologies, Inc; Linthicum (MD); On-site; USD 150,000 - 225,000; Full time

Benefits offered by this job

Healthcare options with employer-paid

Dental insurance

Vision insurance

Life insurance

Disability insurance

Training reimbursement

AWS training access

Technology equipment reimbursement

401(k) with match

Team events and mentorship

Job summary

Constellation Technologies, Inc. is seeking a senior engineer to design and deploy LLM orchestration frameworks and data pipelines in support of federal contracts.

The role requires US citizenship, TS/SCI clearance with active polygraph, a BS in CS, and at least five years of relevant experience, with strong Python, data engineering, and RAG/LLM skills. On-site work across multiple locations in MD/VA/etc. may be required.

Qualifications

• US Citizenship is required and TS/SCI clearance with polygraph is required.
• Five (05) years of direct/relevant experience is required.
• Bachelor’s degree in computer science or related discipline from an accredited college or university is required.
• Proficiency in Python, LLM integration, and data engineering.
• Experience with static analyzers, RAG framework, and relational and vector databases.
• Familiarization with Agile, Git, Jira, and Confluence.

Responsibilities

• Collaborate with leadership to design, develop, and maintain LLM orchestration frameworks coordinating static analyzers, RAG systems, and automated testing pipelines.
• Develop and optimize data preprocessing pipelines to ingest, clean, transform, and vectorize product docs, source code, and test results for LLMs.
• Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management.
• Work with systems engineers to architect and deploy AI tools in secure enclaves and perform performance profiling, optimization, and scalability analysis.
• Support security assessments and authority to operate (ATO) processes, and apply AI/ML to vulnerability identification and mitigation.

Skills

Python

LLM integration

data engineering

Agile

Git

Jira

Confluence

static analyzers

RAG framework

relational databases

vector databases

Rust

Claude Code

Codex

CI/CD

Education

Bachelor’s degree in computer science or related discipline

Tools

Red Hat Enterprise Linux

AWS training

Job description

Python, LLM integration, data engineering, Agile, Git, Jira, Confluence, static analyzers, RAG framework, relational and vector databases, RUST, Claude Code, Codex, and CI/CD Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position. Required:

• Must be a US Citizen.
• Must have TS/SCI clearance w/ active polygraph.
• Must have Five (05) years of direct/relevant experience.
• Bachelor’s degree in computer science or related discipline from an accredited college or university is required.
• Proficiency in Python, LLM integration, and data engineering.
• Experience with static analyzers, RAG framework, and relational and vector databases.
• Familiarization with Agile, Git, Jira, and Confluence.
• Collaborate closely with technical leadership to design, develop, and maintain LLM orchestration frameworks that coordinate static analyzers, retrieval-augmented generation (RAG) systems, and automated testing pipelines.
• Develop and optimize data preprocessing pipelines to ingest, clean, transform, and vectorize product documentation, source code, and test results for LLM consumption.
• Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management.
• Collaboratively work with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis of mission systems.
• Support security assessments and authority to operate (ATO) processes. * the engineer will use AI/ML to develop tools and techniques to include fine tuning Large Language Models (LLM) that assist in enhanced vulnerability identification and mitigation capabilities. These Qualifications Would be Nice to Have:
• Familiarization with RUST, Claude Code, Codex, and CI/CD.

$150,000 - $225,000 a year The pay range for this job, with multi-levels, is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. The benefits package:

• Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA
• Comprehensive Dental insurance
• Vision with 80% employer paid premium
• Employer paid Life insurance 100%
• Employer paid Short-term and Long-term disability 100%
• Annual training, continued education, and professional memberships reimbursement
• Unlimited access to Red Hat Enterprise Linux and AWS training and accreditation
• Annual reimbursement for technology i.e. phones, computers, printers, etc.
• 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment) The environment and perks:
• Professional development investment and paid time off for training
• Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, Florida and Hawaii.
• Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers
• Leadership Team engagement and mentorship
• Performance Recognition Program
• Complimentary branded apparel