CCS Global Tech is a rapidly growing Information Technology company with a diverse portfolio of technology products and services and a large network of industry partnerships. With over 22 years of being a successful business with a global talent pool and presence, CCS is a certified Microsoft Gold Partner and specializes in delivering expert Microsoft based solutions for technical and business needs. We have been recognized by Inc. 500 Magazine as one of the fastest growing small companies in the Unites States.
we are a Tier 1 vendor for the City and County of San Francisco for Cloud Services, Staffing Services and Training Services. For this multi-year opportunity with a diverse set of needs to address, we are currently focusing on establishing partnerships with individuals as well as companies who can help us enhance our overall service portfolio, cut lead times, and ultimately help us deliver successfully. We currently hold sizable Government accounts in the San Francisco bay area including City and County of San Francisco, San Mateo County, and Santa Clara County.
We take great pride in our global reach and local influence. Your experience alongside our highly skilled and talented internal team who guide you along the way, offers key insights into what helps you stand out in a competitive job market.
If you are a partner company, please submit resumes with contact information of your own W2 Consultants only. Submitted consultants are expected to have excellent communication skills.
Job Title:
Software Engineer RAG / LLM Deployment
Location:
Onsite
Job Type:
Full-Time / Contract
Compensation:
Up to $112/hr
Experience: 7 Years of Experience + Bachelor's Degree
Overview:
The Software Engineer will be responsible for the design, development, and deployment of a Retrieval Augmented Generation (RAG) solution in a High Performance Computing (HPC) Linux environment. This position requires hands-on expertise with Large Language Models (LLMs), RAG pipelines, orchestration frameworks, and security-aware AI systems.
Required Skills:
-
Experience with Linux system administration, CLI, and shell scripting
-
Proficiency in containerization: Docker, Podman, containerd
-
Experience deploying containerized services with Kubernetes or Docker Compose
-
Recent software development using Python and Golang
-
Familiarity with RAG pipelines, LLMs, and embedding models
-
Experience with CI/CD using GitLab CI
-
Proficiency in using Prometheus and Grafana for monitoring
-
Experience with Git source control
Desired Skills:
-
Experience debugging GPU-enabled applications
-
Familiarity with LLM orchestration (e.g., OpenAI API)
-
Experience with distributed processing frameworks like Spark, Dask, or Ray for ETL workflows
-
Proficiency in SQL, Elasticsearch, and vector databases
-
Knowledge of HTMX or Hyper-script
-
Experience with multi-node, multi-GPU AI model training (HW/SW)
-
Knowledge of AI inferencing frameworks: Nvidia NIM/TRITON, vLLM, Ray
-
Familiarity with the Atlassian suite: Confluence, Jira
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.