Senior AI/ML Software Engineer - TS/SCI Poly

Themis Insight, LLC.

Columbia (MD)

On-site

USD 140,000 - 190,000

Full time

6 days ago
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Benefits offered by this job

Health, dental, vision plans
401k plan with company contributions
Time Off: 11 holidays + PTO

Job summary

Themis Insight, LLC. in Columbia, MD is hiring a Sr. Software Engineer (AI/ML) to design, develop and deploy scalable software solutions.

The role requires Linux proficiency, basic networking, and experience with LLM interfaces tailored to customer requirements. Expect collaboration with product managers, SMEs, and senior leadership. You will mentor junior engineers, contribute to architectural decisions, and explore AI integration opportunities within a full-stack environment.

Qualifications

  • Fourteen (14) years of experience as a software engineer in programs and contracts of similar scope, type, complexity is required.
  • Must be compliant with DoD8570 IAT2
  • Position requires TS/SCI clearance with polygraph

Responsibilities

  • Design, develop software applications using Gradle Java, Python
  • Gather and evaluate end-user and customer requirements
  • Write, test, debug and deploy code; 4) Perform code reviews to maintain quality
  • Troubleshoot and resolve defects and performance issues
  • Contribute to project planning
  • Collaborate with product managers, developers, SMEs, and leadership contributing to strategic initiatives
  • Design user interface to be widely accessible across the customer community
  • Explore LLM and AI integration opportunities
  • Design interfaces/bridge to external requirements management tools
  • Mentor junior software engineers

Skills

14+ years SWE experience
AI/ML systems
LLM integration
Linux
Networking basics
Code reviews

Education

Bachelor's degree in CS
4 additional SWE years substitute for degree

Tools

Gradle
Java
Python

Job description

Themis Insight, LLC. in Columbia, MD is hiring a Sr. Software Engineer (AI/ML) to design, develop and deploy scalable software solutions.

The role requires Linux proficiency, basic networking, and experience with LLM interfaces tailored to customer requirements. Expect collaboration with product managers, SMEs, and senior leadership. You will mentor junior engineers, contribute to architectural decisions, and explore AI integration opportunities within a full-stack environment.

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