Software Engineer (TS/SCI) – AI/ML & Full-Stack

Jobvite, Inc.; Columbia (MD); On-site; USD 170,000 - 240,000; Full time

Benefits offered by this job

100% employee-owned

401K match

ESOP

4 weeks PTO

12 holidays

Parental leave

Medical/Dental/Vision

Lifestyle bonus

Performance bonuses

Life insurance

Job summary

Visionist, Inc. is seeking a Software Engineer with Active Top Secret (TS/SCI) clearance to design, develop, and maintain full-stack applications across frontend and backend environments.

You will develop ETL workflows, apply AI/ML techniques to accelerate analysis, and ensure scalable data ingestion for mission-critical systems. The role requires 12 years of software engineering experience, strong Python skills, and experience with Kafka and streaming analytics, plus exposure to dataflow or

Qualifications

• Bachelor's degree in a technical discipline (Additional 4 years of experience may substitute degree)
• 12 years of experience in Software Engineering
• Strong experience with Python
• Experience using AI/ML tools to accelerate data analysis and engineering solution development
• Experience with Kafka and streaming analytics
• Working knowledge of relational databases
• Exposure to adjacent domains such as dataflow, data science, or mission analytics

Responsibilities

• Design, develop, and maintain full-stack applications across frontend and backend environments
• Develop ETL workflows to reconcile requested versus realized infrastructure
• Apply AI tools and techniques to accelerate analysis and rapidly prototype new solutions
• Ensure scalable and reliable data ingestion and processing
• Collaborate with full-stack engineers to integrate and visualize results

Skills

Python

AI/ML tools

Kafka

Streaming analytics

Relational databases

Dataflow exposure

Education

Bachelor's degree in a technical discipline

Job description

Visionist, Inc. is seeking a Software Engineer with Active Top Secret (TS/SCI) clearance to design, develop, and maintain full-stack applications across frontend and backend environments.

You will develop ETL workflows, apply AI/ML techniques to accelerate analysis, and ensure scalable data ingestion for mission-critical systems. The role requires 12 years of software engineering experience, strong Python skills, and experience with Kafka and streaming analytics, plus exposure to dataflow or