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Aphex

WebsiteLinkedInAll Job Openings

11 - 50 employees

☁️ SaaS

SaaS • Construction

Aphex is a company that provides a connected platform for construction delivery teams to manage planning, communication, and reporting. Aphex is designed to replace the traditional use of spreadsheets, files, and whiteboards with an integrated system that connects master schedules, automates updates, and visualizes work plans. This platform helps engineers, planners, and managers to collaborate more effectively, reduce mistakes, and improve project performance by allowing real-time visibility and management of construction projects. Aphex is used in various construction projects, such as highways, building, rail, and earthworks, and offers integrations with tools like Power BI and ArcGIS.

📋 Description

• Translate briefs into working AI features, selecting the right model and implementation approach for the use case • Test inputs and outputs before shipping • Ship AI features into the real product • Monitor and evaluate AI feature performance in production • Dig into real inputs and outputs to find where prompts or implementations can be better • Keep every AI feature across the platform accurate and reliable over time • Build the evaluation coverage that catches regressions before users do • Refine prompts and implementations based on how features actually behave in the wild • Research evaluation and implementation techniques, and bring recommendations, not just problems • Decide what good looks like and measure it systematically

🎯 Requirements

• You can explain technical concepts, tradeoffs, and constraints clearly in close 1-on-1 work • You take ownership of what you build and keep it working over time, rather than shipping and moving on • Strong written and verbal communication for async, cross-timezone collaboration • Hands-on experience building LLM-based features *and* evaluating them in production: LLM APIs, prompt engineering, handling AI outputs, iterating on real results • Shipped AI features to real users and handled the monitoring, debugging, and iteration that follows • Familiarity with LLM evaluation frameworks and tooling such as LangSmith or equivalent • Familiarity with RAG, vector databases, or similar techniques (or the fundamentals to pick them up fast) • Full-stack TypeScript/React (the role may grow to include implementation over time) • A habit of staying current with AI and judging when a new technique is actually worth adopting • Not looking for: Build-and-forget engineers who ship AI features and never check whether they're working • Not looking for: People who want to work in isolation rather than in close daily partnership • Not looking for: Candidates targeting senior architect, pure research, or team-lead roles. This is a hands-on, mid-level role

🏖️ Benefits

• Remote-first role with a thriving Philippines-based engineering team • Annual team offsite, all expenses paid, to connect in person • Online socials with an Airwallex card for team lunches and activities • 20 days PTO + Philippine public holidays (all paid) • 5 days sick leave (plus discretionary extra as needed, we're humans, not machines) • Comprehensive private healthcare with family plan option • ₱2,000 monthly rice allowance