Mid-Level AI Software Engineer [$306k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.

Annapolis Junction, MD, United States

11 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

10 years minimum

Compensation

$306,000.0

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Backup Devices Cloud Computing Security Cyber Security Relational Databases Database Security Python (Programming Language) Ansible Azure Machine Learning SQL Databases

+7 more

Large Language Models Generative AI Infrastructure Automation Frameworks Machine Learning Operations Puppet Restful APIs Terraform

Job description

Integrate AI-enabled capabilities into analyst workflows and mission systems to accelerate cyber data triage and enhance operational effectiveness.
Develop full-stack applications and services leveraging large language models (LLMs), retrieval-augmented generation (RAG), and agentic workflows.
Build, deploy, and maintain secure cloud-based AI/ML platforms and relational databases using Python, SQL, AWS, Azure, and infrastructure automation tools., * Stand up, assess, and guide modern AI platforms in secure environments, leveraging Microsoft Azure and AWS ecosystems.
Design, develop, and deploy full-stack applications, RESTful APIs, and AI/ML tools for predictive modeling and knowledge discovery.
Monitor real-time model performance, data drift, and key metrics, leading model retraining and fine-tuning efforts.
Manage relational databases, optimize SQL queries, and enforce database security and backup procedures.
Define and maintain configuration baselines using tools such as Ansible, Puppet, Chef, and Terraform.
Collaborate with Cyber Analysts, data engineers, and stakeholders to define requirements, execute quick-turn requests, and deliver mission-critical solutions.
Ensure all AI/ML workflows comply with cybersecurity, data privacy, and access control requirements within isolated cloud environments.
Conduct analyses of alternatives (AoAs) and execute experiments to quantitatively evaluate model performance against industry standards.