Job Title: Senior Software Engineer

Company Name: First American Technology

Job Url: https://careers.firstam.com/job/-/-/39054/92384452256?source=Indeed&jr_id=69a992a9f6c22f2e368694e4

Job Description: We are looking for a hands-on Senior Software Engineer to serve as the technical owner for AI/ML initiatives within First American Technology. This role bridges business stakeholders, offshore delivery teams, and internal AI/ML platform teams to deliver production-grade AI-enabled applications. This is not a solution architect or liaison-only role. The successful candidate is expected to write code, debug production issues, review deliverables, and ship improvements across AI/ML components and full stack application layers. You will own technical execution during US business hours, including coordination, incident response, and rapid resolution of business-impacting issues.

How You’ll Contribute
Technical Ownership & Delivery

Own end-to-end technical execution for AI/ML application initiatives, ensuring delivery against scope, quality, and timelines.
Translate business and functional requirements into clear technical designs and actionable engineering tasks for delivery teams.
Coordinate execution across offshore teams, AI platform teams, and stakeholders; communicate status, risks, and dependencies.
Review offshore deliverables (code, pipelines, infrastructure changes) for quality, performance, security, and compliance.
Fully own projects in your area, identifying gaps/opportunities and driving solutions to completion.
Hands-On Engineering (Expected)

Actively develop, test, and deploy production features across backend services, APIs, and UI integration.
Provide maintenance of developed software including regression testing, debugging, and root-cause analysis.
Build tools and produce technical documentation to improve developer efficiency and alignment.
Build and maintain test automation suites and quality gates.
AI/ML & Generative AI

Implement and support Machine Learning and Generative AI solutions, including LLM-based systems.
Build and support Retrieval-Augmented Generation (RAG) pipelines and vector search integrations.
Apply prompt engineering, LLM orchestration, and agentic workflow frameworks where appropriate.
Support model/service evaluation, monitoring, and performance tuning (quality, latency, cost).
Ensure responsible AI practices and governance standards are followed.
Cloud, DevOps & Operations

Operate and support AI-enabled applications in Azure and/or AWS.
Maintain CI/CD and operational pipelines (DevOps/MLOps) to enable reliable releases.
Own production stability during US business hours: triage incidents, coordinate fixes, and implement long-term corrective actions.
Ensure security, reliability, and cost awareness of deployed solutions.