Code Engine Studio (CES) was founded in 2014 by a Canadian entrepreneur who believed that the best businesses don't just create value - they create meaning. Not as a tagline, but as a way of operating in the world. For him, success was never the destination. It was the starting point for something more important: building great things with great people, creating work that matters, and contributing something genuinely valuable to the world.
A decade in, we're evolving and we're doing it with purpose. Code Engine Studio is transforming from a traditional software engineering service company into an AI-first company. That means we're not just helping clients navigate AI transformation, we're actively reshaping how we work ourselves: how we build, solve problems, collaborate, and create value every day.
We work in English, serve international clients, and operate with a mindset that transcends borders. Our team is curious, adaptable, and constantly learning as technology evolves. For the right person, this is a rare opportunity to grow inside a company that is not standing still, but actively reinventing itself for what's next.
Our values show up in the way we act. These aren't aspirations. They're just how things work here.
- Pursuit of Excellence: We don't settle - we push for better, and we hold each other to that standard.
- Hungry to Learn: We stay curious, stay humble, and never stop growing.
- Humbly Listen, Bravely Speak: We listen to understand - not just to respond - and we speak honestly even when it's uncomfortable.
- We Before Me: And when something goes wrong, no one looks for someone to blame - we look for a way forward, together.
Underneath everything is something harder to articulate but easy to feel once you're here: WE CARE. Not as a policy, not as a perk - but as the quiet force behind every decision we make. We care whether our clients truly succeed. We care about the world we're all building together. And we care about you - not just the work you do, but who you're becoming while you do it.
KEY JOB RESPONSIBILITIES
1. Technical Culture & Business Mindset
- Set high-bar engineering standards where technical decisions are rooted in business outcomes, ensuring every architectural choice drives ROI
- Champion AI-first thinking at every layer of the organization, moving beyond traditional development to a future-proof, AI-native mindset
- Bridge the gap between complex technical decisions and their commercial impact, acting as a translator between engineering and business
- Define what good looks like by establishing clear benchmarks for code quality, architectural integrity, and production-ready delivery
2. R&D - Strategic AI Governance
- Co-create a 3-5 year roadmap alongside the CEO, identifying high-value AI transformation opportunities that align with long-term business growth
- Design the AI Governance Framework, selecting technology stacks that balance the need for rapid prototyping with enterprise-level scalability
- Evaluate and pilot emerging trends, currently such as Agentic workflows, AI-native coding, and Multi-modal RAG, to maintain a competitive edge
- Collaborate with the sales team and translate R&D findings into actionable, sellable service offerings that provide tangible value to global clients
3. Project Delivery & Quality Assurance
- Take end-to-end accountability for the technical delivery quality of all internal initiatives and high-stakes client-facing projects
- Transition to an AI-augmented SDLC, integrating advanced automated testing and LLM evaluation frameworks to ensure non-deterministic outputs are controlled
- Resolve technical escalations and unblock critical paths to ensure project scope, deadlines, and quality standards are strictly maintained
- Implement release gates and quality frameworks that leverage AI tooling to increase delivery speed without compromising stability
4. Security, Ethics & Compliance
- Act as the ultimate authority on security certifications and global standards (ISO, SOC 2), ensuring the company remains a trusted partner
- Enforce strict AI ethical guardrails, including bias mitigation and hallucination management, while ensuring deep compliance with PDPA and international privacy laws
- Guarantee robustness by ensuring every AI solution is secure, reliable, and meets the stringent requirements of enterprise-grade clients
- Establish AI Governance to manage data privacy and ethical risks inherent in generative AI and large language models
5. Leveling Up People — The AI Elite Coach
- Lead hands-on mentorship, directly teaching the engineering team how to adopt and master AI
- Design internal workshops and proficiency programs to show developers how to use AI tools to double or triple their development velocity
- Foster a default-AI culture where AI augmentation is the standard operating procedure for all tasks, from documentation to deployment for all departments
- Elevate technical talent by identifying high-potential practitioners and grooming them to become AI-native leads within the organization
6. Presales & Client Engagement
- Articulate complex AI solutions in clear, business-focused language during client meetings to build confidence with C-suite stakeholders
- Partner with Sales to architect high-impact Proof of Concepts (PoCs) that demonstrate clear ROI and expand project opportunities
- Serve as a Trusted Advisor, helping global clients navigate their own AI transformation journeys through expert technical consultancy
- Demonstrate AI capabilities through compelling technical storytelling and data-driven impact analysis
REQUIRED QUALIFICATIONS
Technical Expert
- AI/ML Foundations: Deep understanding of Transformer architectures, Embedding models, and the current LLM landscape (OpenAI, Anthropic, Open-source).
- AI Orchestration: Hands-on experience with RAG, Agentic workflows, and frameworks like LangChain, LlamaIndex, or Haystack.
- Modern Engineering: Proficiency in Python, Node.js, and TypeScript. Experience with Microservices and Cloud-native architectures (AWS/GCP/Azure).
- MLOps: Knowledge of model deployment, versioning, and observability tools.
Business & Leadership Competencies
- Commercial Acumen: Ability to align technical roadmaps with P&L goals and market demand. You understand that shipped is better than perfect when validating a market.
- Strategic Communication: Ability to explain technical complexity to non-technical clients in a way that builds trust and closes deals.
- Proven Leadership: Experience managing teams of 10-30+ in an IT outsourcing, consulting, or agency environment.
- Agile Change Management: Proven track record of leading teams through technical pivots and rapid industry shifts.
- Problem solving & Business mindset
JOB HIGHLIGHTS:
- Work Environment: Friendly, open, and family-like atmosphere. Visit our fan page at https://www.facebook.com/codeengine to know us more.
- Compensation: Excellent salary with 13th month bonus and quarterly bonuses available based on personal and corporate goals met
- Professional Development: Training budget available for individual and team growth.
- Work Schedule: 5-day work week (Mon-Fri) with no regular overtime expected.
- Extra Paid Time Off: besides 12 days annual leave, extra 1 Christmas day, and up to 5 days of Sick leave.
- Personal & Career Growth: soft skills training during work hours.
- Office Perks: Free daily lunch, plus social activities such as sport clubs, poker games, foosball table, table tennis, weekly snack-time, and monthly birthday celebrations.
- Language environment: Fully English-speaking
