Full-Stack AI Application Engineer

Job not on LinkedIn

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $90 - $100 / hour

⏳ Contract/Temporary

🟠 Senior

🔴 Lead

💻 Application Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ontrac Solutions

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2010

🤖 Artificial Intelligence

💼 Consulting

🤝 B2B

Artificial Intelligence • Consulting • B2B

Ontrac Solutions is an AI-first technology services firm that helps organizations design, implement, and scale AI-driven systems, cloud architectures, and enterprise platform integrations. They provide AI strategy and generative AI implementation (including RAG and intelligent search), cloud migration and optimization (multi-cloud architecture, Kubernetes, Terraform, GitOps, and FinOps), data and integration engineering, CRM/CMS/e-commerce platform development, and embedded technical talent / staff augmentation to move AI from experimentation into production. With innovation hubs in Chicago and Karachi, Ontrac focuses on delivering production-ready AI and cloud solutions that drive measurable business outcomes.

📋 Description

• Build and maintain Python and FastAPI backend services and PostgreSQL data models • Implement agent and multi-agent workflows using Vertex AI, Gemini models, and ADK • Implement retrieval and grounding through Vertex AI Search where required • Develop the React and TypeScript front end • Package and deploy services to Cloud Run • Manage application data and artifacts in Cloud Storage • Write and maintain automated tests using pytest and Playwright • Participate in working sessions with the delivery team and customer stakeholders to refine requirements, resolve technical questions, and demonstrate progress • Produce technical documentation to support handover at the close of the engagement • Own features end to end from data model through user interface • Work closely with the delivery lead, Program Manager, and customer stakeholders from initial definition through final delivery

🎯 Requirements

• 8 or more years of professional software engineering experience • Demonstrated experience designing, building, and deploying applications on Google Cloud Platform • Google Cloud Professional certification, for example Professional Cloud Developer or Professional Machine Learning Engineer • A degree in Computer Science or a related field, or equivalent practical experience • Strong Python (3.11 and later), with production experience building REST APIs, ideally with FastAPI • Relational data modelling with SQLAlchemy and PostgreSQL • Hands-on experience with Vertex AI and the Gemini models through the google-genai SDK • Experience building agent and multi-agent workflows, ideally with Google's Agent Development Kit (ADK) • Front-end development with React 18 and TypeScript • Experience packaging and deploying containerized services to Cloud Run, and working with Cloud Storage • Comfortable writing and maintaining automated tests with pytest • Retrieval and grounding with Vertex AI Search • Familiarity with Vite, Tailwind, TanStack Query, and Zustand • End-to-end testing with Playwright • Local development with Docker Compose, and comfort with the gcloud CLI and pnpm • Prior delivery experience with a Google Cloud partner • Experience working directly with customer stakeholders in a consulting or delivery setting