Position Details

Salary $130K – $150K USD / year

Type Full-Time

Experience senior

Exp. Years 5+ years

Education Bachelor’s Degree in Computer Science or equivalent professional experience.

Category AI & Machine Learning

About this role

Senior Software Engineer (AI Enablement) role focused on designing and building AI-enabled products for Redwood Logistics’ brokerage and managed services platforms. You will integrate predictive, generative, and agentic models into scalable product workflows and modernize platform architecture on Azure.

Key Responsibilities

Lead design and development of new platform capabilities across Redwood’s technology ecosystem
Integrate predictive, generative, and agentic models into product workflows
Architect scalable, high-performance microservices/APIs with event-driven patterns
Own full-stack development (.NET Core, C#, modern JavaScript frameworks, React preferred)
Implement automated testing, CI/CD pipelines, and observability frameworks

Technical Overview

This role emphasizes scalable microservices and event-driven API systems, full-stack development with .NET Core and C# plus modern JavaScript frameworks (React preferred), and deploying in Azure containerized environments. It also requires strong engineering discipline with automated testing, CI/CD pipelines, and observability frameworks, alongside AI model-serving and orchestration architecture.

Ideal Candidate

The ideal candidate is a senior software engineer with 5+ years of software engineering experience building scalable platforms, including microservices and event-driven APIs. They have hands-on AI integration experience with predictive, generative, and agentic models, and they ship production systems using .NET Core, C#, and modern JavaScript frameworks (with React preferred) on Azure using CI/CD and observability.

Must-Have Skills

Lead the design and development of new platform capabilitiesArchitect scalablehigh-performance systemsOwn full-stack development across .NET CoreC#and modern JavaScript frameworks (React preferred)Implement automated testingCI/CD pipelinesand observability frameworksPartner with the AI Product and Data Science teams to integrate predictivegenerativeand agentic models

Nice-to-Have Skills

React

Tools & Platforms

Azurecontainerized environmentsCI/CD pipelinesobservability frameworks

Required Skills

microservicesAPIsevent-driven patterns.NET CoreC#JavaScriptReactAzurecontainerized environmentsautomated testingCI/CD pipelinesobservability frameworksAI integrationpredictive modelsgenerative modelsagentic modelsagentic workflowsdata-driven automationplatform architecturetechnical design reviews

Hard Skills

microservicesAPIsevent-driven patterns.NET CoreC#JavaScriptReactAzurecontainerized environmentsautomated testingCI/CD pipelinesobservability frameworksfull-stack developmentAI integrationpredictive modelsgenerative modelsagentic modelsagentic workflowsdata orchestration flowsmodel-serving frameworksplatform architecturedata-driven automationarchitect scalable systemstechnical design reviewsproduction-grade solutionsscalablehigh-performance systems

Soft Skills

leadershipmentoringarchitectural thinkingcross-functional collaborationcollaborationcommunicationtechnical design review guidanceindependent problem-solving

Industry & Role

Industry Logistics

Job Function Design and develop AI-enabled logistics platform capabilities by integrating advanced models into scalable production systems

Role Subtype Platform Engineer

Tech Domains Azure, Kubernetes, JavaScript, React, AI & Machine Learning, DevOps & SRE

Keywords for Your Resume

Senior Software EngineerSenior Software Engineer (AI Enablement)Software Engineering ManagerAI-enabled productsAI integrationpredictive modelsgenerative modelsagentic modelsagentic workflowsdata-driven automationmicroservicesAPIsevent-driven patterns.NET CoreC#JavaScriptReactAzurecontainerized environmentsCI/CD pipelinesautomated testingobservability frameworkstechnical design reviewsplatform architecture

Deal Breakers

Bachelor’s Degree in Computer Science or equivalent professional experience, 5+ years professional software engineering experience focused on scalable systems

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