As an Applied AI Engineer in the Proto Team, you will operate as a technical lead building production-grade AI systems in 4 to 8 weeks. You will work across GTM, engineering, and applied AI, translating ambiguous business problems into working software. You will own architecture, make technical decisions, and ship full-stack systems end to end. You will work directly with customers and internal teams, moving from scoping to deployment with high autonomy and high velocity. This role is for fast-moving, highly curious builders who thrive in complexity and ambiguity.
Key Responsibilities:
- Build and deliver full-stack AI solutions for global customers, owning the end-to-end execution from scoping to deployment as technical lead.
- Engage directly with customers to understand use cases, define requirements, and translate them into robust technical architectures and working systems.
- Collaborate across GTM, product, and engineering to ship solutions and contribute to internal tools, product improvements, and open-source initiatives.
- Solve complex applied AI problems across industries, working on real-world GenAI use cases and providing hands-on technical guidance throughout engagements.
Requirements:
- 2+ years experience as a hands-on engineer shipping AI-powered products (ML, software, or full-stack).
- Strong track record of building and deploying production systems end to end, not just prototypes.
- Comfortable working across the modern AI stack: LLMs, RAG, agentic systems, and their deployment in real-world applications.
- Strong software engineering fundamentals in Python, with experience building scalable backend systems (e.g., FastAPI, Pydantic).
- Working understanding of frontend development (e.g., React or Vue) to build usable interfaces when needed.
- Broad technical range: able to move fluidly between system design, infrastructure (e.g., Kubernetes), and applied LLM problem-solving, with a strong bias toward shipping.
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