Software Engineer Level 3

Praxis Engineering Technologies

Annapolis Junction, MD

Full Time

Senior

102k-219k

about 1 month ago

Job Description

About the Role

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.

Key Responsibilities

Design, develop, and deploy Retrieval Augmented Generation (RAG) solutions in a HPC Linux environment.
Work with LLMs, LLM orchestration frameworks, knowledge retrieval, and security-aware AI systems.
Implement containerized services using Docker, PodMan, and containerd.
Deploy and manage containerized applications under Kubernetes or Docker Compose.
Develop software using Python and Golang.
Integrate and optimize LLM pipelines, embedding models, and knowledge retrieval systems.
Utilize CI/CD tools and principles, including GitLab CI.
Monitor system performance using tools such as Prometheus and Grafana.

Requirements

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.
Recent software development experience using Python and Golang.
Familiarity 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.
Active TS/SCI clearance with an appropriate polygraph.

Nice to Have

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.

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.
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.
OR nine (9) years of experience as a SWE in programs and contracts of similar scope, type, and complexity.