Applied AI Engineer

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.