Description
Role requires a *Active* TS/SCI with FS Poly issued by the NSA and a STEM Bachelor’s degree.
Up to $119/ hour
Python, Java, Apache NiFi, ActiveMQ, GitLab CI, Linux, Prometheus, structured data formats (JSON, XML, Parquet)
14 YOE + BS | Up to $119hr | Onsite
The Software Engineer 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.
Position Required Skills
? Experience with Linux system administration, CLI, and shell scripting
? Experience with containerization technologies such as Docker, PodMan, and containerd
? 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
Position Desired Skills
? Experience working with and debugging GPU-enabled applications
? Familiar with LLM orchestration such as Open API 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
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Seeking a seasoned Software Engineer III with active TS/SCI clearance to design and deploy AI-powered RAG solutions in a secure HPC Linux environment.
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