Lead AI Engineer (AI Systems & Automation) - Remote (UK) in London

Lead AI Engineer (AI Systems & Automation) - Remote (UK) in London

London Full-Time 80000 - 100000 £ / year (est.) Working from home possible
Bjak

At a Glance

  • Tasks: Lead the design and development of AI systems for insurance automation.
  • Company: BJAK, Southeast Asia's largest digital insurance platform.
  • Benefits: Competitive salary, remote work, learning budget, and high ownership culture.
  • Other info: Join a global team and elevate technical standards in a fast-paced environment.
  • Why this job: Shape AI architecture and impact millions with innovative insurance solutions.
  • Qualifications: Strong backend or AI engineering experience and leadership skills.

The predicted salary is between 80000 - 100000 £ per year.

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.

Lead AI Engineer (AI Systems & Automation) - Remote (UK) in London employer: Bjak

BJAK is an exceptional employer that fosters a high-ownership culture, allowing you to lead the design and development of AI systems that have a tangible impact on millions of users across Southeast Asia. With a fully remote work environment, you'll collaborate with a global engineering team while benefiting from a strong focus on continuous learning and development, competitive compensation, and modern engineering practices that prioritise scalability and reliability.

Bjak

Contact Details:

Bjak Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead AI Engineer (AI Systems & Automation) - Remote (UK) in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Bjak or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Bjak.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Bjak.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Bjak that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Lead AI Engineer (AI Systems & Automation) - Remote (UK) in London

AI System Design
Backend Engineering
Production Inference Pipelines
AI Orchestration
Distributed Systems
Debugging in High-Scale Environments
Observability and Monitoring

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Bjak.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Bjak and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Bjak

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Bjak uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.