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Software Engineer III

Annapolis Junction, MD
Reflexive Concepts is seeking a skilled Software Engineer III!

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.

Qualifications: 
  • Active TS/SCI + FS Polygraph
  • 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 OR
  • 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 OR
  • Nine (9) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
Required Skills + Experience
  • 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
Desired Skills + Experience: 
  • 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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