Full Stack Engineer
Listed on 2026-02-15
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Software Development
Cloud Engineer - Software, AI Engineer, Software Engineer
Software Engineer (Full Stack – AI/LLM & Cloud-Native Focus)
Initial 1 year contract assignment
100% remote
Applicants must be eligible to obtain a secret clearance
Position OverviewWe are seeking a Software Engineer with strong full-stack development experience and hands-on expertise in AI-driven systems, ontology frameworks, agentic workflows, and scalable cloud-native architectures.
The hiring manager will heavily evaluate candidates based on their responses to the screening questionnaire, particularly around ontology design, LLM integration, agentic workflows, large-scale data processing optimization, and CI/CD pipeline implementation.
Candidates must have a minimum of 3+ years of hands-on professional experience
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- Build and deploy containerized applications using Kubernetes, Docker, Helm, or similar technologies in cloud environments (AWS, Azure, Open Stack, Open Shift).
- Architect and implement ontology-based data models and governance frameworks.
- Design and deploy agentic workflows and AI-driven orchestration systems in production environments.
- Integrate Large Language Models (LLMs) into applications using prompt engineering and/or fine-tuning strategies.
- Optimize long-running, high-volume processing jobs (e.g., batch processing of hundreds of thousands of files).
- Build and maintain CI/CD pipelines including automated builds, testing, deployment, and monitoring.
- Collaborate within Agile teams using JIRA, Confluence, and modern Dev Ops practices.
AI / LLM / Advanced Systems (High Priority – Manager Focus)
- Hands-on experience with ontology frameworks (e.g., knowledge graphs, semantic models, schema governance).
- Practical experience designing or implementing agentic workflows and autonomous orchestration frameworks.
- Experience working with Large Language Models (LLMs), including:
- Fine-tuning considerations
- Production integration patterns
- Experience designing and optimizing large-scale processing systems (batch processing, parallelization, distributed workloads).
- Strong understanding of CI/CD pipelines and major stages (build, test, artifact management, deployment, monitoring).
- Experience with containerization (Kubernetes, Docker, Helm, Containerd).
- Deployment experience in cloud environments such as AWS, Azure, Open Stack, or Open Shift.
- Experience building automated CI/CD pipelines and using Dev Ops tools.
- Experience with at least one modern frontend framework:
- Vue.js (Vuex)
- .NET/C# (if applicable to frontend architecture)
- Architect scalable processing solutions (parallelization, batching, distributed systems).
- Improve performance of long-running jobs.
- Design resilient, fault-tolerant cloud-based applications.
- Apply best practices in testing, deployment automation, and environment configuration.
- Bachelor’s degree in Computer Science, Software Engineering, or related field
- OR
- Equivalent combination of education and professional experience.
- Familiarity with the space domain.
- Strong critical thinking and problem-solving skills.
- Ability to thrive in fast-paced, rapidly evolving environments.
- Strong collaboration and team relationship-building skills.
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