Senior Forward Deployed Engineer (Remote Build)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Forward Deployed Engineer (Remote Build) based in Australia.

This role sits at the intersection of engineering, customer delivery, and applied AI, where you will directly partner with enterprise clients to turn complex operational challenges into reliable, production-grade systems. You will design and deploy integrations, automations, and AI-powered workflows that connect enterprise tools with modern platforms. The position requires strong ownership across the full lifecycle—from discovery and architecture to deployment, monitoring, and iteration. You will operate in ambiguous, fast-moving environments, translating real-world customer needs into scalable technical solutions. A key part of the role is building trust with stakeholders while ensuring solutions are robust, secure, and measurable in production. You will also help standardize learnings from the field into reusable frameworks and engineering best practices. This is a high-impact role in a remote-first, highly collaborative environment focused on practical AI deployment at scale.

Accountabilities

• Partner with customers to deeply understand business challenges, define success criteria, and run structured technical discovery sessions that translate needs into clear “definition of done” outcomes.
• Design and implement end-to-end technical solutions including APIs, data pipelines, integrations, and workflow automations that integrate customer systems with internal platforms.
• Own production deployments, ensuring reliability, observability, performance, incident response readiness, and continuous improvement of delivered systems.
• Build and maintain AI-enabled systems using LLMs, agentic workflows, retrieval patterns, and evaluation frameworks to ensure safe, accurate, and efficient outputs.
• Develop measurement frameworks including KPIs, test suites, regression checks, and guardrails to evaluate system quality and business impact.
• Collaborate cross-functionally with Product, Engineering, Sales, and Customer Success teams to refine architecture, improve reusable components, and scale solutions.
• Translate field insights into scalable patterns, playbooks, and product feedback to improve platform capabilities over time.

Requirements

• 5+ years of experience shipping production-grade software as a backend or full-stack engineer, with ownership of systems in live environments (including debugging and on-call responsibility).
• Strong systems design and integration expertise including APIs, webhooks, authentication (OAuth/service accounts), event-driven architectures, data modeling, and failure handling.
• Hands-on experience building with applied AI/LLMs in production, including prompt design, tool use, RAG, evaluation methods, and performance trade-offs.
• Ability to operate independently in ambiguous environments, translating undefined problems into structured technical solutions and execution plans.
• Excellent communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.
• Experience working with enterprise-grade environments is a plus, including compliance, security reviews, and large-scale system constraints.
• Familiarity with HRIS, payroll, IAM systems, multi-tenant SaaS, or similar enterprise domains is highly desirable.
• Strong programming proficiency and ability to work across multiple languages and modern backend frameworks.

Benefits

• Fully remote-first working model with flexibility to work from anywhere
• Flexible working hours with async-first culture supporting work-life balance
• Competitive compensation with equity/stock options depending on role level
• Paid parental leave and comprehensive mental health support programs
• Learning and development budget to support continuous upskilling
• Home office setup budget and equipment support
• Opportunity to work on cutting-edge AI and enterprise integration challenges
• Global, high-trust environment with strong ownership and autonomy

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.