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AI Product Engineer

Nas Company

Singapore · Full Time

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Salary
Openings
1
Posted
1 day ago
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In office
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Job description

About Nas.com

Nas.com is creating two integrated AI products designed to automate business growth tasks, going beyond just answering queries. One platform assists entrepreneurs to launch and expand online businesses by enabling storefront creation, marketing content development, customer engagement, and global payment processing. Another platform, Agents.nas.com, provides AI-driven marketing assistants that unify advertising, social media, CRM, content, analytics, and transactions data to create a custom marketing intelligence. These AI agents continuously monitor business signals, accumulate specialized knowledge, analyze data, and take marketing actions to seize growth opportunities 24/7.

Backed by $50 million in funding from premier Silicon Valley investors like Khosla Ventures and 500 Global, Nas.com's Singapore team builds products serving global customers.

Role Overview

We seek an AI Product Engineer passionate about managing end-to-end product challenges. Unlike conventional roles, engineering here is directly linked to customer needs rather than isolated technology optimization. The engineer engages deeply with workflows, contextual data ingestion, experience shaping, cross-stack development, enhancing AI agents or integrations, deployment, and iterative learning from end-user feedback.

The team aims to develop versatile engineers with broad skills across frontend, backend, mobile, data, AI systems, infrastructure, or integrations alongside in-depth expertise in at least one area.

Key Responsibilities

  • Take full ownership of product features from conception and design to implementation, testing, deployment, ongoing operation, and refinement.
  • Develop and maintain AI-powered systems that employ tools and contextual business data to execute workflows, improve through feedback, and increase utility over time using evaluation and observability mechanisms.
  • Establish robust integrations connecting AI to real-world systems like advertising channels, social platforms, CRM, analytics, and payment services.
  • Engage directly with customers to understand their business environments, workflow intricacies, technology stack, and pain points without intermediaries.
  • Identify recurring challenges in onboarding, data integration, or AI performance, analyze root causes, and enhance system reliability and quality for future users.

Candidate Profile

  • Strong foundation in software engineering with experience delivering and operating production systems.
  • Ability to dissect ambiguous problems, create structured approaches, and drive them to practical solutions.
  • Comfortable navigating multiple technology domains and acquiring new skills as needed.
  • Deep expertise in at least one technical field with sufficient breadth to collaborate with other domains.
  • Focus on building solutions that yield measurable customer benefits, extending beyond mere code correctness.
  • Experienced in leveraging AI to assist throughout engineering tasks such as research, prototyping, coding, review, testing, debugging, and learning, alongside critical judgment of AI outputs.
  • Understanding that production-level AI agents incorporate more than prompt engineering, including tooling, context management, retrieval methods, evaluations, state handling, reliability, and user interactions.
  • Effective communication skills enabling smooth collaboration with customers, product owners, designers, and fellow engineers.

Additional Preferred Experience

  • Developed LLM or agent-based products with real user adoption.
  • Practical knowledge of agent evaluation, tool integration, retrieval techniques, long-duration workflows, or agent infrastructure engineering.
  • Built scalable data ingestion or synchronization pipelines.
  • Integrated with business platforms like advertising networks, social media, CRM, analytics, or payment processors.
  • Worked closely with customers in roles such as product engineering, forward-deployed solutions engineering, consulting, or agency environments.
  • Familiar with marketing processes, marketing technologies, and customer acquisition strategies.

Why Join Nas.com

You will have true ownership of both product direction and technical solutions, collaborate with leadership and users, and enjoy the autonomy to innovate beyond conventional methods. Our products integrate agents, context, tooling, data, integrations, and UX into core architecture rather than simply adding AI features onto existing systems.

Our unique culture blends engineering discipline with storytelling, rapid experimentation, and a drive to create meaningful products. The close-knit team environment fosters rapid growth, friendships, and shared commitment to company success.

Benefits

  • Competitive compensation including stock options.
  • Hybrid working setup.
  • Funds allocated for self-care and mental health.
  • Regular company lunches and a monthly SGD 250 Grab allowance.
  • Annual company retreats focused on team bonding and meaningful interactions.

How they work

Communication Teamwork & Collaboration Problem Solving Adaptability Customer Focus

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