Software Engineer 3 - ML

Build to something to be proud of.

Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is looking for software developers who can get stuff done while making a difference in support of the mission to protect our country.

 

Description

Captivation Software is looking for a senior level software engineer who shall be responsible for the design, development, and deployment of a Retrieval Augmented Generation (RAG) solution deployed in a HPC Linux environment. Candidates applying for this position must be familiar with LLMs (Large Language Models), LLM orchestration frameworks, knowledge retrieval, and security-aware AI systems

 

Requirements

Security Clearance:

• Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U.S. citizen

Minimum Qualifications:

• Master's degree in Computer Science or related discipline from an accredited college or university, plus Five (5) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
• Bachelor's degree in Computer Science or related discipline from an accredited college or university, plus Seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity
• Nine (9) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.

Required Skills:

• Experience with Linux system administration, CLI, and shell scripting
• Experience with containerization technologies such as Docker, PodMan, and containers
• Experience deploying containerized services under Kubernetes or Docker Compose orchestration
• Recent software development experience using Python, Golang
• Familiar with RAG pipelines, LLMs, and embedding models
• Experience with CI/CD principles, methodologies, and tools including GitLab CI
• Experience using metrics and monitoring tools such as Prometheus and Grafana
• Experience using Git Source Control System

Desired Skills:

• Experience working with and debugging GPU-enabled applications
• Familiar with LLM orchestration such as Open API 
• Experience with distributed processing technologies such as Spark, Dask, or Ray for data processing ETL workflows
• Experience with SQL, Elasticsearch, and Vector databases
• Experience with HTMX or Hyper-script
• Experience with HW/SW aspects of multi-node, multi-GPU AI model training
• Knowledge of AI inferencing solutions such as Nvidia NIM/TRITON, vLLM, and direct deployment (e.g. Ray)
• Experience with the Atlassian suite of tools including Confluence and Jira

 

This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms.

Benefits

• Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience)
• Up to 20% 401k contribution (No Matching Required and Vested from Day 1)
• Above Market Hourly Rates
• $3,400 HSA Contribution
• 5 Weeks Paid Time Off
• Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D