One of the consumer AI startup building intelligent assistants that save people hours every week by handling everyday tasks end‑to‑end. Backed by strong early traction, we’re focused on shipping practical, high‑impact AI products.

Design, build, and deploy AI‑powered agents across voice, browser, and memory systems to solve real‑world user tasks end‑to‑end.

Work hands‑on with LLMs, agent frameworks, tool orchestration, prompts, and workflows, focusing on reliability, efficiency, and real‑world usability.

Develop and maintain agent memory, context management, and task planning to enable multi‑step, long‑running interactions.

Integrate AI systems with external tools, APIs, browsers, and voice interfaces, ensuring smooth execution and error handling.

Collaborate closely with product and operations teams to translate user problems into shipped AI features quickly.

Continuously experiment, evaluate, and iterate on models, prompts, and architectures to improve agent performance and quality.

Take ownership of AI systems in production, including monitoring, debugging, and improving agent behavior at scale.

Strong experience working with LLMs and agentic systems, including prompting, tool use, chaining, and orchestration.

Hands‑on proficiency in Python (or similar) and building production‑ready AI workflows and services.

Experience designing or working with autonomous or semi‑autonomous agents, including task planning, memory, and context management.

Familiarity with voice agents, browser automation, or multimodal systems (speech, text, actions) is a strong plus.

Practical understanding of API integrations, web tools, external services, and real‑world system constraints.

Comfortable experimenting, iterating, and evaluating model behavior to improve reliability, accuracy, and UX.

Strong problem‑solving skills with the ability to translate vague user needs into concrete AI solutions.

Startup mindset: ability to move fast, take ownership, and operate effectively in ambiguous, evolving environments.

Bonus: experience with frameworks like LangChain, OpenAI APIs, speech‑to‑text / text‑to‑speech, browser automation tools, or similar agent stacks.

Opportunity to work on cutting‑edge agentic AI systems (voice, browser, memory) with real‑world impact from day one.

High ownership and autonomy — you’ll ship fast, influence product direction, and see your work live with users quickly.

Competitive compensation and meaningful ESOPs, aligned with long‑term value creation.

Close collaboration with founders and a strong early team, solving hard problems in an execution‑driven environment.

A fast‑learning, zero‑bureaucracy culture where experimentation, initiative, and technical depth are actively encouraged.