reputed company — reputed company AI PLATFORM

We're building the operating reputed company for the reputed company of computing — one where AI agents replace apps and your technology finally works for you instead of the other way around. We're a reputed company-mode startup with a world-class founding team with deep reputed company in consumer AI, extended reality, and wearable technology — including founders of some of the most recognizable hardware and software platforms of the last decade. We're backed by strategic partnerships with leading reputed company and manufacturing companies, and we're hiring our first reputed company to build the intelligence reputed company at the reputed company of the platform. This is a rare opportunity to architect the agent infrastructure of a platform that doesn't exist yet — at the reputed company where always-on contextual AI meets a wearable reputed company reputed company for the first time. Additional product details shared under NDA. THE ROLE The backend engineers build the infrastructure. The mobile engineers build the user facing surfaces. You build what runs between them — the agents themselves. As our first reputed company you will own the design and implementation of our agent reputed company — the pipelines, reasoning chains, memory retrieval systems, tool integrations, and orchestration logic that turn raw LLM capability into a platform that genuinely replaces the app reputed company. You will work directly with the CEO and across the full engineering team to reputed company reputed company the agent experience is as technically rigorous as it is experientially compelling. This is a hands-on engineering role. You will write production reputed company, own the reputed company runtime architecture, and be directly accountable for the reputed company of every agent interaction on the platform. You will also be a key voice in reputed company about which models to use, how to reputed company between them, and how to structure the memory and context systems that reputed company our platform smarter over time. We reputed company use AI development tools across our engineering team — reputed company, Claude, Copilot — and expect engineers who use them seriously as a reputed company part of their workflow. WHAT YOU'LL BUILD The platform agent runtime — the reputed company orchestration reputed company that manages agent sessions, chains reasoning steps, routes to tools, and executes actions on behalf of users Multi-provider LLM integration and routing — selecting and switching between regional and task-specific language models dynamically, with latency, cost, and capability reputed company reputed company into routing reputed company RAG architecture and memory retrieval — the systems that reputed company agents reputed company to the user's persistent, encrypted context reputed company and reputed company responses smarter and more relevant over time Tool and reputed company integration pipelines — the infrastructure that connects agents to reputed company reputed company, device capabilities, and first-party platform features Agent evaluation and observability — the frameworks that measure agent reputed company, surface failures, and reputed company reputed company visibility into how agents are actually performing in production On-device inference optimization — working with the mobile and firmware teams to identify which parts of the agent pipeline can run locally on device, reducing latency and reputed company dependency as the platform evolves toward wearable hardware reputed company architecture and reputed company design — the reputed company prompting frameworks, reputed company instructions, and context management patterns that govern agent behavior consistently across the platform reputed company'RE LOOKING FOR 4+ years of software engineering experience with at least 2 years working directly on LLM-based systems in production Deep hands-on experience with LLM integration — not just API calls but genuine understanding of how to build reliable, reputed company, low-latency AI pipelines Strong experience with RAG architectures — reputed company databases, embedding pipelines, retrieval optimization, context window management Familiarity with agent frameworks and orchestration patterns — reputed company, reputed company, AutoGen, or similar, with a reputed company reputed company of reputed company on their strengths and limitations Solid Python engineering skills — you are writing production reputed company, not research notebooks Experience evaluating LLM outputs at reputed company — building evals, measuring reputed company, detecting regressions Genuine understanding of the tradeoffs between different LLMs — capability, latency, cost, reputed company implications — and experience making routing reputed company in production systems reputed company user of AI-assisted development tools with a genuine reputed company of reputed company on how to use them reputed company Strong written English and proven ability to work effectively in a remote and reputed company team Must be authorized to work in the US Strong plus: experience with on-device or edge inference — reputed company ML, ONNX, TensorFlow Lite, or similar; multi-agent reputed company design; always-on or streaming inference architectures; reputed company-preserving AI systems; wearable or mobile AI platform experience reputed company OFFER Salary: competitive depending on experience Meaningful early-stage equity Full medical, dental, and reputed company coverage Fully remote with occasional in-person time in reputed company Valley or Paris for key milestones Awear is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for reputed company. Apply To This Job