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AI Product Engineer (Full Stack)

Nas Company

Singapore · Full Time

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Experience
Any
Salary
Openings
1
Posted
2 weeks ago
Work mode
In office
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Job description

About Nas.com

Nas.com is developing two integrated AI platforms to empower business growth by automating essential tasks rather than only responding to queries. Their offerings include a unified platform for entrepreneurs to launch and scale online businesses, covering storefront creation, marketing, customer outreach, and global payment processing. Additionally, Agents.nas.com serves marketing teams by integrating advertising, social media, CRM, content, analytics, and transaction data to form a custom AI marketing brain that continuously monitors signals, generates insights, and autonomously executes marketing activities around the clock.

These dual products enable entrepreneurs and marketing teams worldwide to harness AI-driven growth. The company, headquartered in Singapore, has secured $50 million in funding from notable Silicon Valley investors like Khosla Ventures and 500 Global.

Position Overview

Nas.com seeks an AI Product Engineer to take full ownership of product challenges, working closely with users to address authentic business issues directly rather than isolated technological tasks. This role demands broad engineering skills with deep expertise in at least one domain such as frontend, backend, mobile, data, AI systems, infrastructure, or platform integrations. The engineer will engage in the entire product cycle from workflow analysis, data handling, experience design, cross-stack implementation, agent enhancements, shipment, through ongoing refinement based on real usage.

Key Responsibilities

  • Manage end-to-end development of product features, encompassing discovery, design, implementation, deployment, operation, and iterative enhancements.
  • Develop production-grade AI systems that utilize tools and contextual customer data to complete business workflows, adapt through feedback and memory, and improve functionality with effective evaluation and monitoring.
  • Create robust integrations and data pipelines linking advertising, social media, CRM, analytics, payments, and other platforms.
  • Collaborate directly with customers to deeply understand their businesses, workflows, technologies, and challenges without relying on abstracted intermediaries.
  • Identify and resolve product, architectural, or agent-related issues that cause recurring problems in onboarding, data ingestion, integrations, or AI outcomes to enhance system reliability for multiple customers.

Candidate Profile

  • Strong foundational software engineering skills with proven experience delivering and operating live production systems.
  • Ability to thoroughly investigate ambiguous problems, structure solutions, and independently drive them to completion.
  • Comfortable crossing technical domains and rapidly acquiring necessary knowledge.
  • Possess significant expertise in at least one technical area and sufficient breadth to collaborate across product facets.
  • Focus on creating impactful customer outcomes, not just technical correctness.
  • Employ AI tools throughout engineering processes such as research, prototyping, coding, reviewing, testing, debugging, and learning, exercising careful judgment on AI quality.
  • Understanding of production agent engineering beyond simple prompting, including tools, context management, retrieval mechanisms, evaluation, state handling, reliability, and user interaction.
  • Excellent communication skills and a collaborative mindset working with customers, product managers, designers, and engineers.

Preferred Qualifications

  • Experience delivering LLM- or agent-powered products used in real customer settings.
  • Hands-on knowledge of agent evaluation, tool utilization, retrieval systems, workflow orchestration, or agent infrastructure.
  • Background in building scalable data ingestion or synchronization platforms.
  • Experience integrating advertising, social media, CRM, analytics, payment, or similar business systems.
  • Direct customer interaction experience in roles such as product engineering, solutions engineering, consulting, or agencies.
  • Understanding of marketing workflows, marketing technology, and customer acquisition and engagement strategies.

Why Join Nas.com?

Join a team that offers authentic ownership over both product and technical architecture with close user collaboration and leadership visibility. You will contribute to novel AI products with deeply integrated agents, context, tools, data, and user experience rather than adding superficial chatbots. The culture blends engineering discipline with storytelling, agility, experimentation, and passion for creating meaningful innovations. Team members enjoy rapid personal growth, strong camaraderie, and a shared mission.

Benefits

  • Competitive compensation including stock options.
  • Hybrid work environment allowing flexible presence.
  • Allocated mental health and self-care funds.
  • Company-provided lunches and a monthly SGD 250 allowance for transportation.
  • Annual team retreats fostering meaningful connection.

How they work

Communication Teamwork & Collaboration Problem Solving Adaptability Customer Focus
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