ChabezTech LLC

About the Company

ChabezTech a Data engineering and AI products company. Headquartered in Pennsylvania, committed to digitally transform businesses and lead them through operational troughs. We help you augment your solutions' outcomes with short-term integration or long-term implementation support services. Our goal is to provide you with the right talent, at the right time, to help you achieve your business objectives. Our suite of customizable platform solutions allow us to accommodate multiple use-cases for any business and help our clients eliminate the need for multiple vendors. We are constantly improving our offerings to best fit customer needs. Industries that we cater are Retail, Healthcare, Life Sciences, Telecom, Finance.

Listed Jobs

Company Name

ChabezTech LLC

Job Title

AI Engineer

Job Description

**Job title:** AI Engineer **Role Summary:** Design, own, and maintain production‑grade AI, ML, and data‑dashboard software systems, ensuring architectural consistency, quality, and reliable delivery across distributed engineering teams. **Expactations:** Deliver systems that adhere to documented architecture standards, support scalable QA and release processes, integrate AI/ML components smoothly, and resolve production issues rapidly with minimal downtime. **Key Responsibilities:** - Own multiple production‑ready in‑house AI, ML, and dashboard platforms. - Design and evolve end‑to‑end architecture across frontend, backend, and AI/ML layers. - Define and enforce software design standards and architectural guidelines. - Coordinate releases, versioning, dependency management, and rollback strategies. - Collaborate with frontend, backend, data, and AI/ML engineers to deliver integrated solutions. - Maintain technical documentation: architecture diagrams, APIs, QA artifacts, release notes. - Partner with QA to set test strategies, acceptance criteria, and release readiness. - Triage, analyze root causes, and implement corrective actions for production incidents. - Troubleshoot Linux‑based systems and applications in development and production environments. - Ensure software meets quality, performance, reliability, and security standards. **Required Skills:** - Strong architecture and design expertise for multiple production software systems. - Full‑stack development knowledge (frontend + backend). - Experience building or integrating AI/ML‑powered systems, including agentic or autonomous architectures. - Proficiency in Linux environments, debugging, and system‑level troubleshooting. - Excellent technical documentation and communication abilities. - Ability to work with globally distributed engineering teams. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).

Portland, United states

On site

02-02-2026

Company Name

ChabezTech LLC

Job Title

AI/ML Engineer / Architect

Job Description

Job Title: AI/ML Engineer / Architect Role Summary: Design, develop, and maintain production AI/ML and agent-based systems. Own end‑to‑end lifecycle from concept through deployment, collaborating with distributed engineering teams and ensuring seamless integration of frontend, backend, and AI components. Expectations: - Deliver scalable, high‑performance AI/ML solutions that meet enterprise requirements. - Own production system health, troubleshooting, and performance tuning. - Mentor peers and promote best practices across the engineering organization. Key Responsibilities: - Architect and implement end‑to‑end AI/ML pipelines and agentic systems. - Develop and maintain frontend and backend services, ensuring robust APIs and microservices architecture. - Integrate ML models into production workflows, optimizing inference and data pipelines. - Collaborate with globally distributed teams to coordinate design, development, and release cycles. - Debug, troubleshoot, and optimize Linux‑based production environments. - Create clear technical documentation, architecture diagrams, and stakeholder reports. - Contribute to CI/CD pipelines, release automation, and continuous delivery workflows. - Provide production support and rapid resolution of enterprise‑grade incidents. Required Skills: - Proficient in Python, Java, or similar languages with experience in ML frameworks (TensorFlow, PyTorch, etc.). - Strong systems engineering: Linux proficiency, debugging, performance tuning, and kernel-level knowledge. - Full‑stack development talent; experience with REST APIs, microservices, and web frameworks. - Hands‑on experience with agentic AI (LLMs, prompt engineering, autonomous agents). - Familiarity with CI/CD tools (Jenkins, GitLab CI, GitHub Actions, etc.) and release automation. - Excellent written and verbal communication; skilled in technical documentation. - Effective collaboration with globally distributed engineering teams. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience).

Portland, United states

On site

01-02-2026

Company Name

ChabezTech LLC

Job Title

AI/ML Engineer

Job Description

Job title: AI/ML Engineer Role Summary: Design, develop, and deploy production‑ready machine learning models that power internal AI products. Own the full ML lifecycle, from concept and training to deployment, monitoring, and continuous improvement, collaborating closely with product, data, and engineering teams. Expactations: - 8–12 years of experience in AI/ML engineering or related roles - Proven ability to deliver end‑to‑end ML solutions in enterprise environments - Strong problem‑solving and communication skills, adept at cross‑functional collaboration - Willingness to take ownership of model performance, scalability, and reliability Key Responsibilities: - Architect, build, and deploy ML models for real‑world production use cases - Integrate models into applications via REST APIs - Optimize model performance, scalability, and reliability - Implement model monitoring, versioning, and retraining pipelines - Manage model lifecycle on cloud ML platforms (e.g., SageMaker, Azure AI) - Collaborate with data scientists, software engineers, and product stakeholders to deliver reliable AI solutions Required Skills: - Deep experience in ML model development, training, and deployment - Hands‑on integration of ML models through REST APIs - Solid understanding of ML algorithms and production pipelines - Experience in enterprise‑scale ML environments - Proficiency with cloud ML services (AWS SageMaker, Azure AI, etc.) - Familiarity with containerization (Docker, Kubernetes) and MLOps practices Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field - (No specific certifications required, but knowledge of MLOps, cloud, and NLP preferred)

Alpharetta, United states

On site

09-02-2026

Company Name

ChabezTech LLC

Job Title

DevOps Architect

Job Description

**Job Title** DevOps Architect **Role Summary** A hybrid role combining DevOps and Data Engineering responsibilities. Design, implement, and maintain IaC, CI/CD pipelines, and AWS‑based data platforms, ensuring reliable, scalable, and observable infrastructure that supports internal analytics and AI accelerators. **Expectations** - Minimum 14 years of professional experience, with at least 8 years in DevOps, Data Engineering, or Platform Engineering. - Immediate start, contract until end‑2026. - Strong collaboration with engineering, data, and stakeholder teams. **Key Responsibilities** - Architect and administer cloud infrastructure using Terraform (IaC). - Build, maintain, and tune CI/CD pipelines for data and platform workloads. - Perform platform upgrades, routine maintenance, and reliability enhancements. - Support QA, integration testing, and platform testing activities. - Manage AWS data services (Redshift, RDS, Athena) and lead cloud migration initiatives. - Oversee batch and real‑time data pipelines; monitor performance and readiness. - Develop containerized workloads with Docker and Kubernetes. - Ensure observability, performance, and stability of data platforms. - Communicate status and technical details clearly to non‑technical stakeholders. **Required Skills** - Proficiency in Terraform and infrastructure‑as‑code practices. - Hands‑on experience with CI/CD tooling (e.g., Jenkins, GitLab CI, GitHub Actions). - Deep knowledge of AWS data services and cloud architectures. - Strong grasp of ETL/ELT pipelines in Python (design understanding required). - Expertise in Docker, Kubernetes, and orchestration of container workloads. - Familiarity with platform testing, QA integration, and reliability monitoring. - Excellent written and verbal communication. - Mandatory experience with Amazon Redshift, RDS, and Athena. **Required Education & Certifications** - Bachelor’s degree or higher in Computer Science, Information Technology, Engineering, or related field. - AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer) are preferred. ---

Coopersburg, United states

On site

Senior

10-02-2026