Why this grade
This listing scored 25/100, which is an F. It lost the most ground on freshness.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Freshness 0 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
-20 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
BJAK is Southeast Asia's largest digital insurance platform, building AI-powered products that simplify insurance and financial services for millions of users. We use AI and automation to transform real-world insurance workflows such as quotations, policy issuance, endorsements, claims, and customer operations.
We are looking for a Lead AI Engineer to own the design, development, and delivery of production AI systems across our backend and workflow automation stack. This role sits at the core of our AI platform - where model capabilities are translated into reliable, scalable, and production-grade systems that directly impact real users and business outcomes.
This is a fully remote role where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI systems.
Focus
Lead the design and development of production AI systems powering insurance workflow automation.
Architect AI orchestration layers connecting LLMs, backend services, and business workflows.
Own end-to-end AI system design, including inference pipelines, routing, caching, and fallback strategies.
Drive engineering decisions around latency, reliability, cost, and scalability of AI services.
Lead implementation of observability systems (logging, monitoring, tracing, alerting).
Review and guide backend AI implementation across engineering teams.
Collaborate with product, backend, DevOps, and operations teams to ship end-to-end AI features.
Debug complex production issues across distributed AI systems and lead root-cause analysis.
Define engineering standards and best practices for AI system development.
Mentor engineers and elevate technical execution quality across teams.
Ideal Experience
Strong backend or AI engineering experience in production environments.
Experience building or scaling AI systems (LLMs, embeddings, recommendation systems, or automation workflows).
Strong system design skills with experience in distributed systems.
Experience with production inference pipelines and AI orchestration.
Strong debugging ability in high-scale, latency-sensitive environments.
Experience with observability, monitoring, and incident response.
Proven ability to lead technical execution in cross-functional teams.
Strong ownership mindset and ability to drive projects end-to-end.
Comfortable working in fast-paced, globally distributed teams.
Outcomes
AI systems operate reliably at scale with strong performance and low latency.
AI workflows are stable, observable, and production-grade across multiple products.
System architecture supports rapid iteration without compromising reliability.
Production incidents are quickly identified, resolved, and prevented.
Engineering teams execute faster and with higher technical quality under your leadership.
AI capabilities are deeply integrated into global insurance workflows.
Tech Stack
Python
Node.js
LLM APIs (OpenAI / Anthropic / open-source models)
SQL / NoSQL databases
Kubernetes
Docker
Distributed systems tools
Observability stack (logging, metrics, tracing)
How We Work
We believe strong products are built by small, high-ownership teams. Engineers at BJAK work closely with product, design, AI, and operations teams to solve meaningful, real-world insurance problems. We value technical excellence, speed of execution, and practical decision-making.
As a lead, you are expected to raise engineering standards, guide system design decisions, and ensure teams deliver reliable production systems.
Why Join BJAK
Build AI-Powered Products - Work on intelligent insurance automation systems.
Global Engineering Organization - Collaborate across multiple countries.
International Impact - Products used by millions across Southeast Asia and beyond.
Learning & Development Budget - Support continuous technical growth.
High Ownership Culture - Lead critical AI systems end-to-end.
Modern Engineering Practices - Strong focus on scalability and reliability.
Leadership Impact - Shape AI architecture and engineering standards.
Competitive Compensation - Attractive salary package.
Fully Remote - Work remotely with globally distributed teams.
The Kind of Builder We Want
Strong systems thinker who connects AI, backend, and business workflows
Hands-on technical leader who still writes and reviews production code
Strong ownership of production systems and outcomes
Calm under pressure with clear technical judgment
Strong focus on reliability, scalability, and maintainability
Ability to guide engineers without micromanaging
Bias toward execution and real-world impact over theory
This Role Is Not For
Leaders who only delegate without technical involvement
Engineers who avoid production responsibility or incidents
Those who cannot operate in ambiguous or fast-changing environments
People who focus on architecture without accountability for execution
Engineers who lack hands-on experience with production systems
Interview Process
If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.
Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.
We value transparency and efficiency in our hiring process and aim to make decisions promptly. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to lead the development of AI systems powering real-world insurance workflows across global markets.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
Where this listing came from
- 02 Jul 2026 Himalayas first sighting
Seen on 1 board over 0 days.