Telework Flexibility- Software Engineer (TS/SCI with Poly) SWE0 - SWE3
Annapolis Junction, MD
TS/SCI with Poly
SOFTWARE ENGINEER
Fully Funded
About the Role:
We are seeking a Software Engineer (SWE) with strong experience in Linux-based environments and a passion for artificial intelligence systems to join our ML FRAMEWORKS team. In this role, you’ll contribute to the design, development, and deployment of a Retrieval Augmented Generation (RAG) solution in a high-performance computing (HPC) Linux environment.
You’ll work alongside a collaborative team building secure, LLM-based AI systems that support mission-critical knowledge retrieval and orchestration tasks. This is a great opportunity to contribute to innovative, large-scale AI/ML solutions in a flexible, growth-oriented environment.
Multiple levels are available from SWE 0 - SWE 3
Core Responsibilities:
• Develop and deploy containerized services using Docker, PodMan, containerd, and Kubernetes/Docker Compose orchestration.
• Write and maintain clean, scalable code using Python and Golang.
• Support the design and optimization of RAG pipelines, large language models (LLMs), and embedding systems.
• Configure and manage CI/CD pipelines using GitLab CI and source control using Git.
• Administer and monitor systems using tools such as Prometheus and Grafana.
• Contribute to system performance, reliability, and security by applying expert-level Linux CLI and shell scripting knowledge.
Desired NOT REQUIRED Skills:
• Hands-on experience with GPU-enabled application debugging.
• Familiarity with LLM orchestration tools, such as OpenAPI.
• Knowledge of distributed processing frameworks such as Spark, Dask, or Ray for ETL workflows.
• Experience with SQL, Elasticsearch, and Vector databases.
• Exposure to web technologies like HTMX or HyperScript.
• Understanding of hardware/software integration for multi-node, multi-GPU AI training environments.
• Familiarity with AI inference solutions such as Nvidia NIM, Triton, vLLM, or Ray.
• Experience with Atlassian tools, including Confluence and Jira.
Minimum Qualifications:
• Bachelor’s degree in Computer Science, Engineering, or related field
• 2 - 9+ years of relevant software engineering experience
• TS/SCI with Poly
Enjoy Big Benefits!
Our client takes care of their team with industry-leading benefits designed to support both your personal and professional growth:
• ✅ 100% Paid Health, Dental, and Vision Coverage
• ✅ Zero Vesting – 10% 401(k) Match
• ✅ 31 Days of PTO Including Federal Holidays
• ✅ Student Loan Repayment Assistance
• ✅ Unlimited Certification and Training Opportunities
• ✅ Flexible Schedules and Remote Work Options
• ✅ Multiple Performance-Based Bonuses
• ✅ Exclusive Company Memberships and Perks
We do not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
Apply Now
Apply Now
TS/SCI with Poly
SOFTWARE ENGINEER
Fully Funded
About the Role:
We are seeking a Software Engineer (SWE) with strong experience in Linux-based environments and a passion for artificial intelligence systems to join our ML FRAMEWORKS team. In this role, you’ll contribute to the design, development, and deployment of a Retrieval Augmented Generation (RAG) solution in a high-performance computing (HPC) Linux environment.
You’ll work alongside a collaborative team building secure, LLM-based AI systems that support mission-critical knowledge retrieval and orchestration tasks. This is a great opportunity to contribute to innovative, large-scale AI/ML solutions in a flexible, growth-oriented environment.
Multiple levels are available from SWE 0 - SWE 3
Core Responsibilities:
• Develop and deploy containerized services using Docker, PodMan, containerd, and Kubernetes/Docker Compose orchestration.
• Write and maintain clean, scalable code using Python and Golang.
• Support the design and optimization of RAG pipelines, large language models (LLMs), and embedding systems.
• Configure and manage CI/CD pipelines using GitLab CI and source control using Git.
• Administer and monitor systems using tools such as Prometheus and Grafana.
• Contribute to system performance, reliability, and security by applying expert-level Linux CLI and shell scripting knowledge.
Desired NOT REQUIRED Skills:
• Hands-on experience with GPU-enabled application debugging.
• Familiarity with LLM orchestration tools, such as OpenAPI.
• Knowledge of distributed processing frameworks such as Spark, Dask, or Ray for ETL workflows.
• Experience with SQL, Elasticsearch, and Vector databases.
• Exposure to web technologies like HTMX or HyperScript.
• Understanding of hardware/software integration for multi-node, multi-GPU AI training environments.
• Familiarity with AI inference solutions such as Nvidia NIM, Triton, vLLM, or Ray.
• Experience with Atlassian tools, including Confluence and Jira.
Minimum Qualifications:
• Bachelor’s degree in Computer Science, Engineering, or related field
• 2 - 9+ years of relevant software engineering experience
• TS/SCI with Poly
Enjoy Big Benefits!
Our client takes care of their team with industry-leading benefits designed to support both your personal and professional growth:
• ✅ 100% Paid Health, Dental, and Vision Coverage
• ✅ Zero Vesting – 10% 401(k) Match
• ✅ 31 Days of PTO Including Federal Holidays
• ✅ Student Loan Repayment Assistance
• ✅ Unlimited Certification and Training Opportunities
• ✅ Flexible Schedules and Remote Work Options
• ✅ Multiple Performance-Based Bonuses
• ✅ Exclusive Company Memberships and Perks
We do not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
Apply Now
Apply Now