Fullstack Software Engineer – Core

Responsibilities

We are representing a confidential enterprise AI platform organization seeking a Fullstack Software Engineer to contribute to core product development. You will join one of several specialized engineering themes, building features that power data science and machine learning workflows at scale.

Depending on your assigned team, your responsibilities may include:

• Developing data integration, transformation, and cataloging tools with LLM-enhanced capabilities
• Building next-generation AI features including cross-provider LLM APIs and machine learning model integrations
• Creating collaborative workspace interfaces that make data accessible through charts, dashboards, and intelligent search
• Developing high-performance data visualization components using modern charting libraries
• Building MLOps automation for model retraining, monitoring, and deployment workflows
• Optimizing platform scalability and cloud integrations across multiple providers
• Implementing AI governance and compliance features with customizable policy enforcement
• Collaborating with research teams on innovative machine learning experiments
• Enhancing developer tools including notebooks, SQL workbenches, and APIs

What We're Looking For

• Significant experience in software engineering building production applications
• Strong full-stack development skills—our client is stack-agnostic and values engineering fundamentals over specific frameworks
• Experience with backend and frontend technologies (teams work with combinations of Java, Python, Angular, AngularJS, React, Node.js)
• Passion for combining backend performance with exceptional user experience
• Comfort working in a fast-paced, high-growth environment
• Interest in data platforms, machine learning, or AI technologies is a plus
• We're hiring at all levels: junior, mid-level, and senior engineers

Relevant technology exposure may include: Java, Python, Angular, React, D3.js, ECharts, scikit-learn, TensorFlow, PyTorch, Kubernetes, Docker, Spark, PostgreSQL, and major cloud platforms (AWS, Azure, GCP).

How We Work with You

Our talent team at Get A Job.ai screens all candidates who apply through our platform. After your initial conversation with our recruiter, we will coordinate your interview process with the client, which includes:

• Video interview with an Engineering Team Lead
• Technical assessment (home test or live coding exercise)
• Final interviews with engineering leadership

We handle scheduling, feedback coordination, and offer negotiations on your behalf. Please do not contact the client directly—all communication should flow through Get A Job.ai to ensure a smooth process.

Pay

Compensation details will be discussed during the screening process and are competitive with market rates for remote fullstack engineering roles.

Equal Opportunity

Get A Job.ai is committed to inclusive recruiting practices. We welcome candidates of all backgrounds and work with clients who share our commitment to workplace diversity and equal opportunity employment.