Jobs at BJAK

Build and maintain internal applications, backend services, APIs, databases, integrations, and automation systems for business functions. Translate operational workflows into software solutions, develop AI-powered workflows using LLMs and agents, deploy and monitor production tools, and improve reliability and efficiency while collaborating with non-technical stakeholders.

Design intuitive, polished mobile interfaces for iOS and Android financial applications. Responsibilities include creating wireframes, user flows, prototypes, production-ready UI, design systems, and reusable components; collaborating with engineers and product managers; ensuring accessibility, responsiveness, and platform compliance; and iterating based on analytics, usability findings, and feedback.

Design end-to-end digital product experiences across BJAK’s financial products, translating requirements into user flows, wireframes, prototypes, and polished interfaces. Build scalable design systems, collaborate with product and engineering teams, ensure accurate implementation, and improve usability through data and user feedback across mobile and web platforms.

Build and maintain internal applications, backend services, APIs, databases, and AI-powered automation workflows for business functions. Translate manual processes and operational needs into software solutions, integrate internal and third-party systems, deploy and monitor production tools, and improve reliability, accuracy, usage, and time savings. Collaborate directly with non-technical stakeholders to define requirements and validate solutions.

Build and operate the inference and orchestration backend powering AI interactions across mobile and desktop applications. Responsibilities include designing production AI services, optimizing latency and throughput, managing caching, batching and streaming, and maintaining monitoring, logging, alerting, and incident response systems. The role requires reliable APIs, distributed-systems debugging, and scalable integration with LLMs, embeddings, and multimodal models.

Build integrations that enable AI agents to interact with first-party and third-party applications. Develop structured agent actions, information retrieval interfaces, cross-application workflows, reusable SDKs, and reliable asynchronous APIs. Manage authentication, authorization, permissions, and integration limitations while collaborating with Android engineers on system-level application access.

Develop and modify Android system services, privileged APIs, and OS-level AI integrations. Build interfaces for AI agents to interact with Android functionality while managing permissions, IPC, application lifecycles, background execution, performance, and resource consumption. Collaborate with agent engineers and debug Android Framework or AOSP components. Preferred experience includes custom ROMs, AOSP contributions, C++, System UI, background services, and power management.

Design AI-native interaction patterns and proactive experiences for everyday phone use. The role explores voice, touch, conversational, contextual, and multimodal interfaces; creates workflows across applications; makes agent actions transparent and controllable; and prototypes and validates new interaction models. The designer will collaborate closely with product and engineering teams and apply strong usability, product thinking, visual communication, and mobile interaction design skills.

Define the hardware platform strategy and roadmap for an AI-native smartphone. Evaluate mobile SoCs, NPUs, components, power, thermal performance, connectivity, and memory capabilities. Translate product and AI requirements into hardware specifications, assess vendor and ODM proposals, establish validation criteria, and determine whether commercial platforms or custom hardware are needed for current and future on-device AI workloads.

Build agent workflows, orchestration, tool integrations, context retrieval, memory, multi-step execution, and long-running stateful processes. Improve reliability through evaluations and regression testing, integrate local and cloud model providers, and support model routing and inference optimization. The role requires backend or AI application engineering expertise, strong API and distributed systems knowledge, and proficiency in Python, Go, or TypeScript.

Lead Android platform architecture and AOSP-based ROM development for an AI-native phone. Define OS-level AI integration, system services, privileged APIs, permissions, security architecture, and platform extensions. Partner with hardware vendors and ODMs on device integration, evaluate technical trade-offs, and establish Android platform engineering standards. The role requires deep Android internals expertise, ROM development experience, and strong technical leadership.

Integrate AOSP or custom Android ROMs with smartphone hardware, including BSPs, vendor HALs, firmware, drivers, sensors, cameras, audio, modems, Wi-Fi, and Bluetooth. Support device bring-up and boot processes, troubleshoot hardware and firmware compatibility, collaborate with ODMs, OEMs, and chipset vendors, and optimize power consumption and hardware performance.

Evaluate, deploy, and optimize machine learning models for on-device execution on Android phones. Benchmark models on mobile hardware, optimize latency, memory, and power consumption, and apply quantization, compression, and distillation. Integrate models with Android applications, system services, and AI agent runtimes. Build hybrid local/cloud model routing and determine which workflows should run locally versus through cloud inference.

Develop and modify Android Framework components, system services, privileged APIs, and secure AI-agent integrations. The role focuses on application lifecycle, permissions, background execution, first-party app integration, OS stability, performance, and collaboration with agent engineers. Candidates need strong Android development experience, Java or Kotlin proficiency, AOSP knowledge, and familiarity with Binder IPC, permissions, and complex Android debugging. Custom ROM, C++, Linux, Android security, power management, and system-level shipping experience are preferred.

Lead the product direction and user experience for an AI-native phone. Define high-value workflows, proactive assistance, and cross-application AI interactions; translate concepts into engineering requirements; prioritize prototype and launch capabilities; collaborate with Android and AI teams; and conduct user research to validate intuitive interaction patterns.

Plan, manage, and optimize paid user acquisition campaigns across multiple advertising platforms. Own budgets, analyze CAC, ROAS, LTV, cohorts, attribution, and payback periods. Run experiments across audiences, bids, landing pages, and creatives; collaborate with creative teams; and scale profitable campaigns across markets using data-driven acquisition strategies.

Lead product strategy and execution for an AI-native mobile communication application. Define requirements, user journeys, priorities, acceptance criteria, and roadmap; collaborate with design and engineering through launch and iteration; analyze usage, feedback, and performance metrics; and research users, competitors, and market trends to identify opportunities.

Leads strategy, roadmap, prioritization, technical scope, launch planning, and performance optimization for an AI-native mobile communication application. Partners with engineering, design, and business stakeholders on architecture, scalability, reliability, user experience, and measurable product outcomes. Requires deep technical fluency and experience launching and scaling complex technology products.

Define product roadmaps, requirements, and success metrics; translate user needs into technical product features; evaluate architecture and engineering trade-offs; lead products from planning through launch; analyze user behavior and experiments; and guide priorities using market research, feedback, and performance data.

Lead high-priority cross-functional initiatives across engineering, product, hiring, operations, and business development. Build teams, processes, and capabilities; plan and execute projects; research markets and opportunities; identify operational problems and implement practical solutions to deliver measurable business outcomes.