Top Tech Jobs & Startup Jobs in Boston, MA

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.