Proven experience with customer-facing product development.
Hands-on knowledge of LLM technologies and workflows.
Strong instincts for product design and user experience.
Ownership mentality with proactive user engagement.
Demonstrated curiosity and persistence in innovation.
Responsibilities
Build reasoning-driven systems on top of LLMs for consumer and marketing applications.
Collaborate with product design on AI feature development from concept to launch.
Design and implement evaluation frameworks for LLM/ML performance metrics.
Manage full-stack AI product features including design, monitoring, and user experience.
Work with cross-functional teams to ensure AI delivers customer value.
Stay updated on advancements in agentic reasoning and LLM applications.
Benefits
Collaborative work environment with direct input on product design.
Opportunity to work with cutting-edge LLM technology.
Focus on innovation and implementing new techniques.
Interaction with diverse teams including founders and marketing.
Room for experimentation and creativity in building AI systems.
Full Job Description
What You'll Work On
Build agentic, reasoning-driven systems on top of cutting-edge LLMs to power consumer intelligence, marketing automation, and influencer activation.
Collaborate deeply with product design to prototype, iterate, and ship AI features from 01. You'll be in Figma reviews, whiteboarding sessions, and user interviews - not just implementing handed-down specs.
Design & execute LLM/ML evaluation frameworks - from offline benchmarks to live A/B tests - to measure quality, reliability, and business impact.
Own full-stack AI product features: prompt design, orchestration, tooling, monitoring, and the UX that brings it all together.
Collaborate closely with founders, design, marketing, and customers to ensure our AI deliver real customer value
Stay at the front of the curve: research, prototype, and integrate emerging methods in agentic reasoning, context engineering, and LLM-driven automation.
Note: This role is not focused on training foundation models - it's about building high-leverage systems on top of them (think Claude-Code over Claude-Model ).
What We're Looking For
Proven track record shipping customer-facing products. You've built features users love and can move quickly across the entire stack - frontend, backend, infrastructure.
Deep, hands-on familiarity with LLMs - evaluation, prompt engineering, tool use, context management, and agentic workflows. You stay current with the latest advances in AI and are excited to experiment with new techniques and apply them to real product problems.
Strong product sense and design instinct. You have opinions about what makes AI experiences great - and what makes them terrible. You're comfortable working with designers in the earliest stages, before the UX is settled, to collaboratively shape what the product should be. You can wear multiple hats: engineer, product thinker, and user advocate.
High ownership mindset. You like talking to users, debugging real data, reading logs, and doing the unglamorous work required to build great AI products.
Curiosity, grit, and a drive to build things that feel like magic. No degree requirements.
