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Senior Software Engineer & AI & ML Systems

ChabezTech LLC

On-site Full-time Senior $62 – $65/hr 3d ago

About the role

Senior Software Engineer – AI & ML Systems

Location: Portland, OR (Hybrid / Onsite as required)

Interview Process: Final Round – Face-to-face interview in Portland

Employment Type: W2 Contract (Long-term)

Rate: Up to $62–65/hour on W2

Delivering data engineering and AI products to help you achieve operational and customer excellence.

Chabez Tech is a Data Engineering & AI Products company, headquartered in Pennsylvania, committed to digitally transforming businesses and guiding them through operational challenges.

What We Do

We offer Solutions Integration & Implementation Support, helping organizations augment their outcomes with short-term integration or long-term implementation services. Our mission is to provide the right talent, at the right time, to help businesses achieve their objectives.

Why Choose Chabez Tech? • Upskilling & Adapting to Deliver Best Results • Our customizable platform solutions support multiple use cases across industries, reducing the need for multiple vendors while continuously evolving to meet customer needs. • Focus on Operational Excellence • We build data solutions that accelerate product initiatives through no-code capabilities and improve operational efficiency. • Multi-Domain Expertise • Deep experience across data and AI domains including MLOps, data governance, security, compliance, and integration. • Customizable platforms tailored to unique business use cases across industries.

Position Overview

We are seeking a Senior Software Engineer to own, design, and deliver production-grade software systems across AI/ML services, backend platforms, and user-facing applications. This role requires strong end-to-end architecture ownership, hands‑on engineering, and collaboration across globally distributed teams.

The ideal candidate has experience building and integrating AI/ML-powered systems, including LLM-based and agentic AI solutions, and supporting enterprise production environments with a focus on quality, reliability, performance, and security.

Key Responsibilities • Own and maintain multiple production software systems across AI/ML, backend, and application layers • Design and implement end-to-end system architecture spanning frontend, backend, and AI/ML components • Define and enforce software design standards and architectural guidelines • Ensure implementations align with documented architecture and system design • Collaborate with frontend, backend, AI/ML, QA, and DevOps teams on system integration • Design and integrate AI/ML-powered features, including LLM-based workflows and agentic systems • Maintain technical documentation (architecture diagrams, APIs, QA artifacts, release notes) • Coordinate releases including versioning, dependencies, deployment readiness, and rollback planning • Partner with QA on test strategies, acceptance criteria, and release readiness • Support production systems, including issue triage, root-cause analysis, and corrective actions • Troubleshoot Linux-based systems across development, staging, and production environments • Ensure software meets performance, reliability, scalability, and security standards

Required Qualifications • Strong experience owning and delivering multiple production software systems • Solid frontend and backend development background • Hands‑on experience with AI/ML-powered systems (LLMs preferred) • Experience working with distributed/global engineering teams • Proficiency in Linux environments, including system-level troubleshooting • Strong communication and technical documentation skills

Preferred Qualifications • Experience with AI platforms, ML pipelines, or agent-based architectures • Experience with dashboards or data visualization platforms • Familiarity with CI/CD pipelines and release automation • Experience supporting enterprise-scale production systems

What Success Looks Like • Software implementations consistently reflect documented architecture • Predictable and reliable QA and release processes • Clean integration across AI, ML, and application layers • Efficient resolution of production issues with minimal disruption • Cohesive evolution of systems across the product portfolio

Thanks & Regards

4 Lemoyne Dr #102, Lemoyne, PA 17043, USA

Phone: +1-717-441-5440 (US) | +91-8097 164 089 ( India )

GSA Multiple Award Schedule (MAS) | E-Verify Company

Requirements

  • Deep experience across data and AI domains including MLOps, data governance, security, compliance, and integration
  • The ideal candidate has experience building and integrating AI/ML-powered systems, including LLM-based and agentic AI solutions, and supporting enterprise production environments with a focus on quality, reliability, performance, and security
  • Strong experience owning and delivering multiple production software systems
  • Solid frontend and backend development background
  • Experience working with distributed/global engineering teams
  • Proficiency in Linux environments, including system-level troubleshooting
  • Strong communication and technical documentation skills
  • Software implementations consistently reflect documented architecture
  • Predictable and reliable QA and release processes
  • Cohesive evolution of systems across the product portfolio

Responsibilities

  • Delivering data engineering and AI products to help you achieve operational and customer excellence
  • Our customizable platform solutions support multiple use cases across industries, reducing the need for multiple vendors while continuously evolving to meet customer needs
  • We build data solutions that accelerate product initiatives through no-code capabilities and improve operational efficiency
  • Customizable platforms tailored to unique business use cases across industries
  • We are seeking a Senior Software Engineer to own, design, and deliver production-grade software systems across AI/ML services, backend platforms, and user-facing applications
  • This role requires strong end-to-end architecture ownership, hands‑on engineering, and collaboration across globally distributed teams
  • Own and maintain multiple production software systems across AI/ML, backend, and application layers
  • Design and implement end-to-end system architecture spanning frontend, backend, and AI/ML components
  • Define and enforce software design standards and architectural guidelines
  • Ensure implementations align with documented architecture and system design
  • Collaborate with frontend, backend, AI/ML, QA, and DevOps teams on system integration
  • Design and integrate AI/ML-powered features, including LLM-based workflows and agentic systems
  • Maintain technical documentation (architecture diagrams, APIs, QA artifacts, release notes)
  • Coordinate releases including versioning, dependencies, deployment readiness, and rollback planning
  • Partner with QA on test strategies, acceptance criteria, and release readiness
  • Support production systems, including issue triage, root-cause analysis, and corrective actions
  • Troubleshoot Linux-based systems across development, staging, and production environments
  • Ensure software meets performance, reliability, scalability, and security standards
  • Clean integration across AI, ML, and application layers
  • Efficient resolution of production issues with minimal disruption

Benefits

Rate: Up to $62–65/hour on W2

Skills

AI/MLfrontend developmentbackend developmentLinuxCI/CD pipelinesrelease automationdata visualizationdashboards

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