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Senior Software Engineer – AI & ML Systems

Job in Portland, Multnomah County, Oregon, 97204, USA
Listing for: ChabezTech LLC
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 62 - 65 USD Hourly USD 62.00 65.00 HOUR
Job Description & How to Apply Below

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 Dev Ops 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:  (US) |  ( India )

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

#J-18808-Ljbffr
Position Requirements
10+ Years work experience
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