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AI Product Builder in Residence

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Job Description

AI Product Builder in Residence

GenAI Fund | Full-time Residency / Internship | Hanoi preferred

Path to long-term role | Application deadline: 24 August 2026

1. ABOUT THE ROLE

GenAI Fund is looking for a highly hands-on AI Builder in Residence to join our team.

This is a full-time, paid residency structured as an internship, designed for builders who want to spend their time shipping real AI products and working on real-world enterprise AI deployments.

We're hiring with long-term potential in mind. Strong performers will have the opportunity to convert into a permanent role and take on significantly greater ownership as we build out GenAI Fund's AI product and engineering capabilities.

We're looking for someone who doesn't just follow what's happening in AI — you build with it.

You've shipped AI products with real users. You actively experiment across the AI ecosystem and have developed your own opinions about which models, tools, and approaches work best for different problems. When something new launches, your instinct is to understand how it works and what you can build with it.

At GenAI Fund, you'll work across two areas:

1. Building our own AI products from 0→1

2. Building and deploying AI solutions with our enterprise partners

You'll have significant ownership and the opportunity to work across the full journey from problem → prototype → production → real users → iteration.

2. WHAT YOU'LL DOBuild AI Products at GenAI Fund

Work closely with our team to identify opportunities, prototype ideas, and ship new AI products for our ecosystem of builders, startups, and enterprises.

Depending on the project, you may work on:

  • AI agents and agentic workflows
  • LLM-powered applications
  • AI developer tools and infrastructure
  • Multi-model and multi-provider AI products
  • Internal AI tools and automation
  • New 0→1 products that could develop into standalone ventures

You won't just be handed specifications to execute.

We expect you to understand the problem, explore different approaches, build quickly, get products into users hands, learn from how they're actually used, and continuously improve them.

Deploy AI with Enterprises

You'll also work as a Forward Deployed Engineer (FDE) on real-world enterprise AI projects.

You'll:

  • Work with enterprises to understand their business problems and workflows
  • Identify where AI can create meaningful impact
  • Translate business requirements into technical solutions
  • Rapidly prototype and test AI applications
  • Build AI agents, RAG systems, workflows, integrations, and applications
  • Connect AI systems with enterprise data, APIs, and existing tools
  • Work directly with users and stakeholders
  • Help move successful prototypes toward production

You should be equally comfortable building at your laptop and explaining what you've built to a customer.

3. WHO WE'RE LOOKING FOR

The strongest signal for us is simple:

You've already shipped AI products that real people use.

We're looking for someone who:

  • Has strong hands-on software engineering skills, particularly in Python and/or TypeScript/JavaScript
  • Has built and shipped AI applications beyond coursework, tutorials, or simple demos
  • Has hands-on experience with modern AI development — this could include LLM APIs, agents, RAG, tool calling, embeddings, vector databases, AI coding tools, or other parts of the emerging AI stack
  • Understands APIs, backend systems, databases, deployment, and the realities of running an AI product
  • Actively experiments across the AI ecosystem and develops strong opinions about which models, tools, and approaches work best for different problems
  • Has strong product instincts and thinks about users and outcomes, not just models and prompts
  • Can move quickly from an ambiguous problem to something people can actually use
  • Is highly resourceful and comfortable figuring things out without a detailed playbook
  • Can communicate clearly with both technical and non-technical stakeholders

Strong communication in both English and Vietnamese is important. You'll work directly with technical and business stakeholders and should be comfortable understanding business problems, asking the right questions, and explaining technical decisions clearly.

Hanoi-based candidates are preferred.

We care much less about titles or years of experience than what you've built, how you think, and how quickly you can turn new AI capabilities into something useful.

4. WHY GENAI FUND

GenAI Fund is an AI ecosystem and venture-building platform focused on accelerating AI adoption across Asia.

We operate at the intersection of AI builders, startups, enterprises, technology companies, and public-sector institutions — giving you an opportunity to build technology while staying close to the people and organizations actually adopting it.

Our ecosystem includes:

  • 3,000+ AI builders and 3,000+ AI startups
  • 200+ AI use cases generated across our initiatives
  • 100+ AI PoCs facilitated between startups and enterprises
  • Programs and initiatives across 10+ markets in Asia
  • Builder programs reaching participants from 60+ countries

Our initiatives have involved leading technology companies including AWS, NVIDIA, OpenAI, Qwen, Tencent Cloud, BytePlus, and Databricks, alongside enterprises across banking, FMCG, mobility, aviation, retail, and other industries.

For an AI builder, this creates a unique environment.

Most engineers have to choose between building products, working with enterprises, or being close to the broader AI ecosystem. Here, you'll get exposure to all three.

When you build something, we have an ecosystem of builders and startups to potentially test it with, enterprises to deploy it into, and technology partners whose infrastructure and technologies we can build on.

You'll see firsthand how AI products are identified, built, distributed, deployed, and scaled in the real world.

Most importantly: you'll get to build a lot.

5. WHAT YOU'LL GET

High ownership from day one

Own meaningful parts of products and projects from 0→1 — from figuring out what to build to getting it into the hands of real users.

Competitive monthly compensation + performance bonus

Receive monthly compensation, with additional performance-based bonuses for exceptional contribution and impact.

Build with the best AI tools

Get access to leading AI models, coding tools, APIs, cloud infrastructure, and emerging technologies you need to experiment and ship quickly.

Real users, real deployments

Build products for real users and work directly on enterprise AI projects — learning what it actually takes to move AI from prototype to production.

Access to the AI ecosystem

Work alongside and get exposure to founders, AI builders, enterprises, and leading technology companies across GenAI Fund's ecosystem and initiatives.

Learn beyond engineering

See how AI products are identified, built, distributed, sold, deployed, and potentially developed into standalone ventures.

Regional exposure

Opportunities to participate in selected GenAI Fund programs, enterprise projects, and ecosystem activities across Asia.

Path to a long-term role

We're building this role with long-term potential in mind. High-performing Builders in Residence will be considered for conversion into a permanent role, with opportunities to take on greater ownership across our AI products and enterprise deployments.

6. HOW TO APPLY

Don't just send us a CV. Show us what you've built.

Send your application to [Confidential Information] with:

  • Your LinkedIn profile or CV
  • Your GitHub and/or portfolio page
  • Ideally, one AI product you're most proud of building

For the product, briefly tell us what you personally built, who uses it, and share the product with us if it's live.

We care much more about what you've built, how you think, and your ability to ship than the titles you've held.

APPLICATION DEADLINE: 24 AUGUST 2026

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Job ID: 152481131

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