AI Lead

Description

Wiliot was founded by the team that invented one of the technologies at the heart of 5G. Their next vision was to develop an IoT sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnect from the IoT. This revolutionary mixture of cloud and semiconductor technology is being used by some of the world’s largest consumer, retail, food and pharmaceutical companies to change the way we make, distribute, sell, use and recycle products.

Our investors include Softbank, Amazon, Alibaba, Verizon, NTT DoCoMo, Qualcomm and PepsiCo. 

We are seeking a AI Lead to drive the development and deployment of intelligent applications powered by Wiliot’s ambient IoT platform. This role will be at the forefront of building AI-native interfaces that connect the physical and digital worlds — redefining how users interact with real-time data, business operations, and physical assets.

This is a flexible leadership position: Ideal for someone who can build and lead a team, or an exceptional technical expert capable of executing as a high-impact individual contributor. The role reports to the Director of Strategy and will be central to shaping Wiliot’s AI roadmap across internal tools, customer-facing solutions, and SDKs for external developers.

Responsibilities

• AI Product Execution: Lead the development of GenAI-driven products, such as intelligent agents, copilots, and self-serve interfaces for real-world sensing and IoT data.

• Architecture & Engineering: Design scalable, secure, and maintainable architectures for deploying LLM-powered services in production.

• AI/ML Ops & Infrastructure: Own the full lifecycle of AI solutions — prompt engineering, model evaluation, vector search, function calling, monitoring, retraining.

• Team Leadership (optional): Mentor and grow a team of AI engineers and applied researchers, or collaborate across squads as a senior IC.

• Cross-functional Collaboration: Work with data scientists, software engineers, product managers and business stakeholders to embed generative AI into the core of Wiliot’s data product strategy.

• Customer Use Cases: Translate ambient IoT data into actionable AI experiences — supporting applications in logistics, sustainability, inventory management, and supply chain visibility.

• Developer Platforms: Help build the SDKs and APIs that let customers and partners create their own AI-powered workflows using Wiliot technology.

• Experimentation & Research: Stay at the frontier of GenAI advancements (LLMs, RAG, agents, vision-language models) and apply them to real-world constraints and data environments.

Requirements

• Proven experience developing and deploying generative AI solutions (chatbots, agents, copilots, RAG systems) in production.

• Strong software engineering background — proficiency in Python, experience with LLM frameworks (e.g., LangChain, LlamaIndex, Haystack), and deployment tools (e.g., FastAPI, Docker, Kubernetes).

• Deep familiarity with LLMs (OpenAI, Claude, Mistral, etc.) and embedding models, including retrieval and vector database design (e.g., Weaviate, Pinecone, FAISS).

• Experience integrating LLMs with real-time or IoT data, or streaming data sources.

• Working knowledge of MLOps and production-grade AI systems — versioning, monitoring, observability, security.

• Excellent communication skills — comfortable interfacing with engineers, data teams, and non-technical stakeholders.

• Experience in fast-paced, startup-like environments — self-directed, curious, and execution-driven.

Bonus Points

• Experience in IoT, ambient sensing, or edge/cloud hybrid architectures.

• Familiarity with LLM orchestration tools or autonomous agents (e.g., AutoGPT, CrewAI, LangGraph).

• Prior experience building AI developer platforms or SDKs.

• Background in NLP, knowledge graphs, or multimodal AI.

#LI-Hybrid