• Develop and maintain comprehensive features using AWS CDK, Node.js (Typescript), Python, Angular (Typescript), and Postgres • Write clean, maintainable code: Adhere to coding best practices and actively participate in code reviews. • Implement UI/UX designs: Transform design mockups and wireframes into functional interfaces that align with our brand and style guidelines. • Debugging and troubleshooting: Identify and resolve bugs or performance issues within the application. • Contribute to architectural and system design discussions, ensuring scalability and robustness

• Lead software architecture projects with a focus on AI • Collaborate with development teams • Deliver scalable technical solutions for clients • Participate in design and planning meetings • Mentor junior developers

Job Title: Full Stack Developer Job Type: Full-Time (Remote) Compensation: Up to AUD 1,500/month (based on experience and qualifications) Work Schedule: Full-time Experience: 2-5+ years Who We Are At Remotely, we connect exceptional offshore professionals in the Philippines with global businesses looking to scale efficiently. We’re committed to building meaningful work opportunities that empower skilled talent to deliver real impact – anytime, anywhere. Role Overview The Full Stack Developer will be responsible for designing, building, and maintaining both front end and back end components of web applications. This role requires strong technical expertise, problem solving skills, and the ability to collaborate with cross functional teams. You will help create high performance, scalable, and user friendly digital solutions that support the client’s business goals. Key Responsibilities - Develop and maintain front end and back end systems using modern frameworks and technologies - Build responsive and user friendly interfaces that follow best design and UX practices - Develop server side logic, APIs, and integration points - Collaborate with designers, developers, and product teams to refine system requirements - Optimize applications for speed, scalability, and performance - Implement security and data protection best practices - Troubleshoot, debug, and resolve technical issues - Participate in code reviews and contribute to development standards - Document code, processes, and technical specifications

• The Forward Deployed AI Product Engineer (Vector) is a customer-embedded, full-stack engineer who builds AI-native applications and agents that solve high-value business problems on top of the client’s data and AI platform. • This role sits at the intersection of product, engineering, and business outcomes: you will live inside a business unit, learn its operations in detail, and rapidly ship working software that proves measurable ROI. • You will be deployed directly into strategic customer accounts as the tip of the spear for AI-powered solutions. • You will partner closely with business stakeholders, central platform teams, and other phData consultants to: • Identify and shape AI use cases that were previously considered too messy, too manual, or too cross-functional to tackle. • Rapidly prototype full-stack, MVP-grade agents, applications, and workflows that demonstrate value in weeks, not quarters. • Productionize the most impactful solutions, integrating with the client’s AI Data Platform, existing systems, and operational workflows. • Feed technical and architectural patterns back into the client’s platform and operating model to create durable, long-term leverage. • You will own the end-to-end lifecycle of AI-native solutions in your business area: discovery, value articulation, design, implementation, iteration, and handoff. • You must be equally comfortable whiteboarding with executives about KPIs and ROI, sitting side-by-side with frontline operators to understand real-world constraints, and diving deep into code to ship features quickly. • This is a highly hands-on, travel-heavy role designed for engineers who want to be as close as possible to the business problem, not just the technology. You will act as a lead engineer within one or more “fusion pods,” collaborating with data engineers, ML engineers, activation specialists, and client teams to deliver outsized business impact.