The successful candidate will have hands-on experience with Large Language Models (LLMs), LLM orchestration frameworks, knowledge retrieval systems, embedding models, and containerized applications. Working knowledge of Generative SI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, embedding models, and vector databases.
Numbers & Facts
Location
Annapolis Junction, Maryland
Website
http://2hb.com
Description
This is a full-time position, and requires a TS/SCI/Full Scope Polygraph Clearance.
2HB Incorporated is seeking a Senior Software Engineer in order to support its government customer in Annapolis Junction, MD. The Software Engineer shall design, develop, deploy, and support Retrieval-Augmented Generation (RAG) solutions within a high-performance computing (HPC) Linux environment. The successful candidate will have hands-on experience with Large Language Models (LLMs), LLM orchestration frameworks, knowledge retrieval systems, embedding models, and containerized applications. Candidates must be proficient in Python, Kubernetes, Helm, CI/CD automation, and secure SI system development, with the ability to deliver scalable, production-ready SI solutions in mission-critical environments.
Position Required Skills:
Proven experience working in Linux environments, including advanced use of the Linux command-line interface (CLI) for development, troubleshooting, and system administration
Recent hands-on software development experience using Python, with a strong understanding of modern software engineering practices and frameworks
Experience with containerization technologies, such as Docker, Podman, and containerd, for application packaging, deployment, and lifecycle management
Experience designing, authoring, and deploying Helm charts to manage Kubernetes-based applications and services
Experience developing, testing, deploying, and supporting containerized applications in production environments.
Experience creating, configuring, and managing Kubernetes resources, including Deployments, Services, ConfigMaps, Secrets, Ingresses, and Operators
Working knowledge of Generative SI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, embedding models, and vector databases
Experience implementing and maintaining CI/CD pipelines using tools such as GitLab CI/CD, Flux CD, GitLab Runners or similar tools
Experience leveraging observability, metrics, logging, and monitoring solutions including Prometheus and Grafana
Proficiency with Git-based source control workflows, including branching strategies, code reviews, pull/merge requests, and collaborative development practices
Understanding of software development lifecycle (SDLC) best practices, including automated testing, security scanning, code quality analysis, and DevSecOps principles
This is a full-time position, and requires a TS/SCI/Full Scope Polygraph Clearance.