Bjak

Build and operate backend AI workflow systems focusing on latency, throughput, reliability, and observability. | Strong backend engineering in production systems, familiarity with AI/LLM systems, ownership mindset, and experience with distributed systems and observability. | 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 follow-ups. We are looking for talented AI Backend Engineers to build the systems that power AI-driven decisioning, automation, and orchestration across our platform. This role sits at the core of our AI stack - between models, backend systems, and real users - where latency, correctness, reliability, and cost directly impact production experience. This is a fully remote position where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI systems. Focus Build and operate backend systems that serve AI-powered insurance workflows in production. Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic. Build inference pipelines for LLM-based and AI-assisted automation systems. Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing). Design stable service boundaries between backend systems, ML components, and product APIs. Implement observability: logging, metrics, tracing, alerting, and incident response workflows. Debug production issues across distributed AI systems and resolve root causes. Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features. Continuously improve system reliability, scalability, and performance. Ideal Experience Strong backend engineering experience in production systems. Experience building or operating high-throughput, low-latency services. Familiarity with AI systems (LLMs, embeddings, or AI workflows). Experience with distributed systems and production debugging. Strong understanding of APIs, data flows, and system design principles. Experience with observability tools (logging, monitoring, tracing). Strong ownership mindset and bias toward shipping. Comfortable working in fast-paced, globally distributed teams. Outcomes AI backend systems run reliably at scale with low latency and high availability. AI workflows are stable, observable, and production-ready across multiple products. System performance improves continuously through real-world feedback and optimization. Production incidents are quickly detected, diagnosed, and resolved. AI capabilities are seamlessly integrated into global customer and internal workflows. Tech Stack Python Node.js LLM APIs (OpenAI / Anthropic / open-source models) SQL / NoSQL databases Kubernetes Docker Distributed systems tooling Observability stacks (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. Engineers are expected to own systems end-to-end—from design and implementation to production reliability and iteration. 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 for continuous growth. High Ownership Culture - End-to-end ownership of engineering systems. Modern Engineering Practices - Focus on scalability and reliability. Career Growth - Fast-moving engineering environment. Competitive Compensation - Attractive salary package. Fully Remote - Work remotely with globally distributed teams. The Kind of Builder We Want Thinks in systems, not just services or endpoints Strong ownership of production behavior and system outcomes Comfortable working with ambiguity and evolving requirements Strong attention to failure modes, latency, and reliability Focused on real-world production impact over theoretical design Moves fast while maintaining engineering discipline Obsessed with making systems stable, observable, and scalable This Role Is Not For Engineers who only build features without owning production systems Those uncomfortable debugging distributed systems under load Developers who avoid responsibility for production incidents Engineers who require perfect specifications before starting work People who treat AI systems as black boxes without operational ownership 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 be part of a team building AI systems that power real-world insurance workflows across global markets.

Lead design and delivery of AI systems and orchestration layers, drive engineering standards, and mentor engineers. | Strong backend or AI engineering experience with distributed systems, leadership, and ownership mindset in remote teams. | 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.

Build and prototype AI-native product experiences across web and mobile interfaces to create intuitive conversational flows. | Strong frontend engineering skills in React or SwiftUI and deep understanding of UX and interaction design required. | About the Role A1 is building a proactive AI chat app for everyday users to bring intelligence to conversations, errands, organising and workflows. Unlike traditional chat-based applications, our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. You will shape how users experience AI from the ground up. This is an early, high-ownership role where your design decisions will directly influence core user flows, interaction models, and product direction. You will design systems and journeys – how users discover value, interact with intelligence, and build trust in an AI-driven product. What You'll Be Doing Build and prototype new AI-native product experiences across web, mobile, and experimental interfaces. Turn early product ideas, interaction concepts, and conversational flows into functional prototypes quickly. Work closely with product, design, engineering, and ML teams to explore and validate new interaction models. Develop high-quality frontend experiences with strong attention to usability, motion, responsiveness, and polish. Experiment with AI-driven UI patterns, multimodal interactions, streaming interfaces, and real-time assistant experiences. Bridge design and engineering by translating product concepts directly into working code and interactive prototypes. Iterate rapidly based on product feedback, technical constraints, and user behavior. Help shape frontend architecture, reusable UI systems, and prototyping workflows for fast experimentation. Contribute to the overall product experience, balancing usability, speed, technical feasibility, and AI limitations. What You Will Need Strong frontend engineering skills with experience building modern web or mobile applications. Strong product and UX instincts with the ability to think beyond implementation details. Experience building prototypes, interaction-heavy interfaces, or experimental product experiences. Proficiency in modern frontend technologies such as React, TypeScript, SwiftUI, Flutter, or similar frameworks. Ability to rapidly prototype ideas and iterate quickly in ambiguous, fast-moving environments. Good understanding of interaction design, animation, responsiveness, and UI performance. Interest in AI-native interfaces, conversational products, multimodal interactions, and emerging UX patterns. Comfortable working closely with designers, product managers, and ML engineers. Ability to balance engineering quality with experimentation speed and product iteration. Willingness to take ownership from concept exploration through production implementation. Outcomes Own the end-to-end AI interaction experience, from first discovery to repeated use. Ensure AI behaviors are predictable, intuitive, and trusted by users. Take responsibility for the clarity, usability, and effectiveness of complex workflows. Detect friction or confusion proactively and design solutions that prevent issues before they reach users. Own the translation of research and engineering capabilities into coherent, usable product experiences. Define and track success metrics for AI UX, and iterate designs based on real user behavior. Mentor and influence other designers and cross-functional teams on AI interaction standards. Make high-impact design decisions that balance speed, technical feasibility, and long-term system quality. Drive a design philosophy that becomes a foundation for all future AI product surfaces. How We Work The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product 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, so expect a prompt decision. 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 be part of a team that's bringing AI to have practical benefits to billions globally.

Advise business leaders on workforce strategy, performance management, employee relations, and talent development. | Experience in HR generalist or HRBP role with strong problem-solving and business-aligned guidance skills. | About BJAK BJAK is building the next-generation insurance and financial services platform – designed to be intuitive, intelligent and personalised. Presently we are the largest insurance platform in Southeast Asia, and expanding globally with a strong focus on technology and product superiority. We are looking for talented, ownership-minded individuals. In return, expect growth, trust, autonomy, rewards, and impact. About the Role As an HR Business Partner, you operate as an embedded advisor and problem-solver, translating business priorities into practical people execution across a fast-evolving, global organization. You will work closely with leaders and managers across regions, helping them navigate performance, growth, and organizational challenges where standard playbooks often don’t exist. What You Will Be Doing Partner with business leaders and managers on team effectiveness, performance management, and day-to-day people decisions. Translate business goals into people actions across hiring, engagement, performance, and workforce planning. Support employee relations matters and performance conversations with sound judgment and practicality. Contribute to workforce planning, headcount tracking, and people data analysis in partnership with Finance and HR leadership. Support talent initiatives including onboarding, career development, internal mobility, and learning programs. Use people data and feedback to identify trends, surface risks, and recommend improvements. Operate across multiple geographies and business contexts, adapting approaches as needed. What You Will Need Experience in an HR generalist or HRBP role in a fast-moving environment. Solid grounding in core HR areas including employee relations, performance management, and talent processes. Ability to advise managers with practical, business-aligned guidance rather than policy-driven answers. Strong problem-solving skills and comfort operating in ambiguity. Clear communication skills and good judgment when handling sensitive matters. Why Join BJAK Operate at the center of the business, not on the sidelines of HR. Exposure to complex, real-world people challenges across multiple markets. High ownership, fast learning, and clear progression into senior HR roles. Flat, execution-focused culture where initiative matters more than hierarchy. Competitive compensation and meaningful impact

Lead and manage all global HR functions including talent acquisition, payroll, performance management, and organizational design to support scalable growth. | Proven experience leading comprehensive HR functions in a fast-growing international organization with strategic and operational expertise across multiple jurisdictions. | About BJAK We build superior application platforms globally with the mission of creating successful businesses while contributing positively to society by making it more efficient. We developed the first and leading insurance platform in Southeast Asia to digitize the insurance industry. The platform currently serves over 8 million users across the region. We are continuing our mission by building new, superior applications in emerging use cases as applications become increasingly integrated with AI. Our team is densely talented, highly motivated, and focused on engineering and product excellence within a very flat organization. All members are expected to be hands-on and to contribute directly to the company’s mission. About the role We are looking for a hands-on Head of People to own and operate the full spectrum of human resources across BJAK’s global organization. This role covers employees across Malaysia, Thailand, Japan, Indonesia, Hong Kong, China, the UK, and the US, spanning both on-site and remote teams. You will be responsible for building, running, and scaling the HR function in a fast-moving, high-growth environment. This is not a purely managerial, strategic or policy-driven role. You are expected to build & drive execution, particularly in hiring, performance management, leadership support, and complex people matters, while progressively building systems and a small, high-quality HR team around you. You will work closely with founders and senior leaders, acting as both a trusted leader and a practical problem-solver. What you will be doing Own the end-to-end HR function globally, including Talent Acquisition, HR Business Partnering, Employee Engagement, Learning & Development, Payroll, Compensation & Benefits, and HR Operations. Personally lead and support critical hiring across technical, commercial, and corporate roles, ensuring hiring quality, speed, and consistency across regions. Partner closely with founders and senior leaders on organisation design, workforce planning, performance management, succession planning, and leadership development. Build and operate performance management, feedback, and development frameworks that are simple, practical, and actively used by managers. Drive employee engagement initiatives that strengthen alignment, retention, and execution, while avoiding unnecessary bureaucracy. Act as a hands-on HRBP for senior leaders and managers, supporting day-to-day people decisions, performance issues, and organizational changes. Own global payroll, compensation, benefits, and employment structures, ensuring accuracy, fairness, and compliance across all countries. Manage HR compliance, employment contracts, policies, and statutory requirements across multiple jurisdictions, working with external advisors or EORs where needed. Design and continuously improve HR processes and systems that scale with the business without slowing it down. Build, mentor, and lead the HR team over time, with a strong bias toward high ownership and execution. What you will need Proven experience leading end-to-end HR in a fast-growing, international organization. Strong hands-on background with the ability to operate at both strategic and execution levels. Experience managing HR across multiple countries, including a mix of local entities, remote employees, and third-party employment structures. Solid expertise across talent acquisition, performance management, employee relations, compensation & benefits, payroll, and HR operations. Strong judgment and business acumen, with the ability to make pragmatic decisions in ambiguous situations. High ownership mindset - comfortable rolling up sleeves and solving problems directly. Ability to work closely with founders and senior leaders in a fast-paced, high-expectation environment.

You will work with product, data, and engineering teams to define ML goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation. | A bachelor's degree in a related technical field is required along with 2-4 years of experience in machine learning or backend software development. Strong proficiency in Python and familiarity with ML frameworks like TensorFlow or PyTorch are essential. | 📍 Working arrangement: United States (Remote - work from anywhere in the US) Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive At BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search. This is a remote role based in United States, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day. Why This Role Matters Your work will directly impact user experience, efficiency, and platform intelligence You’ll contribute to production-grade AI systems that serve millions You’ll collaborate across functions and build scalable ML tools from the ground up You’ll grow quickly in a lean, high-impact engineering environment What You’ll Do Work with product, data, and engineering teams to define ML goals and technical strategies Design, build, and deploy machine learning models that power personalization, automation, and insight generation Manage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deployment Build scalable ML infrastructure and deployment pipelines Integrate ML outputs into user-facing products and backend systems Stay current with AI/ML trends and apply relevant innovations into our stack Contribute to debugging, testing, and optimization of production ML systems You’ll Thrive Here If You... Take full ownership - you don’t just build models, you make sure they drive real-world results Are a self-starter who figures things out fast, even when there’s no manual or roadmap Move with urgency - you adapt quickly, ship fast, and improve even faster Own problems end-to-end - from messy data to deployment, and everything in between Bring a team-first attitude - you’re humble, helpful, and raise the bar for those around you Push through chaos - startup pace, shifting priorities, and ambiguity don’t throw you off Learn obsessively and share openly - you level up fast and help others do the same Requirements Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field Strong proficiency in Python is a must 2 - 4 years of experience in machine learning or backend software development Experience using frameworks like TensorFlow, PyTorch, or Scikit-learn Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation Familiar with model deployment, API development, or real-world ML integration Experience with tools like Google Colab, Jupyter, and cloud ML platforms Strong analytical, problem-solving, and communication skills Must be based in US and open to remote collaboration across time zones Nice to Have Experience with NLP, computer vision, or recommendation systems Familiarity with cloud services (e.g., AWS, GCP, Azure) Exposure to Docker, Git, or CI/CD tools Background working in a high-growth startup or agile product environment What You’ll Get Competitive salary and performance-based bonuses Flexible, fully remote work arrangement from anywhere in the US Direct impact - your work reaches millions of users across Asia Flat structure - your voice is heard, your contributions are seen Opportunities for rapid personal and technical growth Regional exposure and collaboration across Southeast Asia About BJAK BJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone. If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.

You will work with product, data, and engineering teams to define ML goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation. | A bachelor's degree in a related technical field is required along with 2-4 years of experience in machine learning or backend software development. Strong proficiency in Python and familiarity with ML frameworks and deployment processes are essential. | 📍 Working arrangement: United States (Remote - work from anywhere in the US) Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive At BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a Founding AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search. This is a remote role based in United States, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day. Why This Role Matters Your work will directly impact user experience, efficiency, and platform intelligence You’ll contribute to production-grade AI systems that serve millions You’ll collaborate across functions and build scalable ML tools from the ground up You’ll grow quickly in a lean, high-impact engineering environment What You’ll Do Work with product, data, and engineering teams to define ML goals and technical strategies Design, build, and deploy machine learning models that power personalization, automation, and insight generation Manage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deployment Build scalable ML infrastructure and deployment pipelines Integrate ML outputs into user-facing products and backend systems Stay current with AI/ML trends and apply relevant innovations into our stack Contribute to debugging, testing, and optimization of production ML systems You’ll Thrive Here If You... Take full ownership - you don’t just build models, you make sure they drive real-world results Are a self-starter who figures things out fast, even when there’s no manual or roadmap Move with urgency - you adapt quickly, ship fast, and improve even faster Own problems end-to-end - from messy data to deployment, and everything in between Bring a team-first attitude - you’re humble, helpful, and raise the bar for those around you Push through chaos - startup pace, shifting priorities, and ambiguity don’t throw you off Learn obsessively and share openly - you level up fast and help others do the same Requirements Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field Strong proficiency in Python is a must 2 - 4 years of experience in machine learning or backend software development Experience using frameworks like TensorFlow, PyTorch, or Scikit-learn Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation Familiar with model deployment, API development, or real-world ML integration Experience with tools like Google Colab, Jupyter, and cloud ML platforms Strong analytical, problem-solving, and communication skills Must be based in US and open to remote collaboration across time zones Nice to Have Experience with NLP, computer vision, or recommendation systems Familiarity with cloud services (e.g., AWS, GCP, Azure) Exposure to Docker, Git, or CI/CD tools Background working in a high-growth startup or agile product environment What You’ll Get Competitive salary and performance-based bonuses Flexible, fully remote work arrangement from anywhere in the US Direct impact - your work reaches millions of users across Asia Flat structure - your voice is heard, your contributions are seen Opportunities for rapid personal and technical growth Regional exposure and collaboration across Southeast Asia About BJAK BJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone. If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.

You will run and manage open-source models efficiently, optimizing for cost and reliability. Additionally, you will ensure high performance and stability across GPU, CPU, and memory resources. | Experience with model serving platforms such as vLLM or HuggingFace TGI is required. Proficiency in GPU orchestration using tools like Kubernetes and Ray is also necessary. | Transform Language Models into Real-World Applications We’re building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role with hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You’ll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions. Why This Role Matters You’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale. What You’ll Do Run and manage open-source models efficiently, optimizing for cost and reliability Ensure high performance and stability across GPU, CPU, and memory resources Monitor and troubleshoot model inference to maintain low latency and high throughput Collaborate with engineers to implement scalable and reliable model serving solutions What Is It Like Likes ownership and independence Believe clarity comes from action - prototype, test, and iterate without waiting for perfect plans. Stay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze you. Bias for speed - you believe it’s better to deliver something valuable now than a perfect version much later. See feedback and failure as part of growth - you’re here to level up. Possess humility, hunger, and hustle, and lift others up as you go. Requirements Experience with model serving platforms such as vLLM or HuggingFace TGI Proficiency in GPU orchestration using tools like Kubernetes, Ray, Modal, RunPod, LambdaLabs Ability to monitor latency, costs, and scale systems efficiently with traffic demands Experience setting up inference endpoints for backend engineers What You’ll Get Flat structure & real ownership Full involvement in direction and consensus decision making Flexibility in work arrangement High-impact role with visibility across product, data, and engineering Top-of-market compensation and performance-based bonuses Global exposure to product development Lots of perks - housing rental subsidies, a quality company cafeteria, and overtime meals Health, dental & vision insurance Global travel insurance (for you & your dependents) Unlimited, flexible time off Our Team & Culture We’re a densed, high-performance team focused on high quality work and global impact. We behave like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, join us. About Bjak BJAK is Southeast Asia’s #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems. If you're excited to build real-world AI systems and grow fast in a high-impact environment, we’d love to hear from you.

Design, build, and deploy machine learning models and infrastructure to power AI-driven financial services. | Bachelor's degree with 2-4 years experience in machine learning or backend development, strong Python proficiency, and experience with ML frameworks and deployment. | 📍 Working arrangement: United States (Remote - work from anywhere in the US) Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive At BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search. This is a remote role based in United States, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day. Why This Role Matters • Your work will directly impact user experience, efficiency, and platform intelligence • You’ll contribute to production-grade AI systems that serve millions • You’ll collaborate across functions and build scalable ML tools from the ground up • You’ll grow quickly in a lean, high-impact engineering environment What You’ll Do • Work with product, data, and engineering teams to define ML goals and technical strategies • Design, build, and deploy machine learning models that power personalization, automation, and insight generation • Manage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deployment • Build scalable ML infrastructure and deployment pipelines • Integrate ML outputs into user-facing products and backend systems • Stay current with AI/ML trends and apply relevant innovations into our stack • Contribute to debugging, testing, and optimization of production ML systems You’ll Thrive Here If You... • Take full ownership - you don’t just build models, you make sure they drive real-world results • Are a self-starter who figures things out fast, even when there’s no manual or roadmap • Move with urgency - you adapt quickly, ship fast, and improve even faster • Own problems end-to-end - from messy data to deployment, and everything in between • Bring a team-first attitude - you’re humble, helpful, and raise the bar for those around you • Push through chaos - startup pace, shifting priorities, and ambiguity don’t throw you off • Learn obsessively and share openly - you level up fast and help others do the same Requirements • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field • Strong proficiency in Python is a must • 2 - 4 years of experience in machine learning or backend software development • Experience using frameworks like TensorFlow, PyTorch, or Scikit-learn • Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation • Familiar with model deployment, API development, or real-world ML integration • Experience with tools like Google Colab, Jupyter, and cloud ML platforms • Strong analytical, problem-solving, and communication skills • Must be based in US and open to remote collaboration across time zones Nice to Have • Experience with NLP, computer vision, or recommendation systems • Familiarity with cloud services (e.g., AWS, GCP, Azure) • Exposure to Docker, Git, or CI/CD tools • Background working in a high-growth startup or agile product environment What You’ll Get • Competitive salary and performance-based bonuses • Flexible, fully remote work arrangement from anywhere in the US • Direct impact - your work reaches millions of users across Asia • Flat structure - your voice is heard, your contributions are seen • Opportunities for rapid personal and technical growth • Regional exposure and collaboration across Southeast Asia About BJAK BJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone. If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.