Senior Software Engineer & AI & ML Systems
ChabezTech LLC
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
Skills
Don't send a generic resume
Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.
Get started free