As an AI Engineer, you'll build the harnesses, agents, and fine-tuned models that bring generative AI into our products and internal workflows.
Locations (2)
San Mateo, California, United States
New York, United States
Compensation
The base salary (fixed) for this role ranges from $178,500 to $222,000 USD (min to max of base salary). This salary range is applicable to our offices located in California and New York*
Responsibilities
Build a system that turns brand guidelines into ad creatives, then keeps improving them from live campaign performance
Build an agent that speeds up ML research for our Applied Scientists
Turn signals such as creative performance and developer feedback into training data, so our systems keep getting better after launch
Own projects from framing the problem and defining success through shipping and iterating in production
Define what “good” looks like for systems without an obvious metric, and build the evals and annotation processes to measure it
Requirements
Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience
Nice to have: Understanding of the ads ecosystem (OpenRTB, SSPs, DSPs, ad exchanges, MMPs)
Nice to have: Contributions to open-source GenAI projects (LLaMA-Factory, verl, opencode, OpenResearch)
Nice to have: Public work in LLMs, diffusion models, reinforcement learning, or agents (publications, write-ups, or talks)
Nice to have: Experience with large-scale GPU training and serving (distributed training and inference optimization)
Design, develop, and maintain scalable backend services and software systems using C# and .NET/.NET Core technologies, leveraging AI tools to improve developer productivity.
Responsibilities
Contribute to product architecture and design scalable, high-performing, and testable solutions
Bring new ideas and drive innovation across customer solutions and the software development lifecycle
Collaborate with engineers, architects, and cross-functional teams to deliver high-quality solutions
Design, develop, and maintain scalable backend services and software systems using C# and .NET/.NET Core
Leverage AI throughout the software development lifecycle
Lead the development of next-generation Agentic Ambient Intelligence systems at the intersection of Autonomous AI Agents, Smart Home Automation and Local-First Infrastructure.
Compensation
Competitive Tax-Free Salary: A market-leading monthly package in AED, commensurate with experience.
Responsibilities
Design and implement autonomous agentic workflows using frameworks such as OpenClaw and Hermes Agentic OS
Develop multi-agent systems capable of self-improvement, tool use and complex reasoning
Integrate Vision frameworks and Voice AI (ElevenLabs) to create immersive, multimodal interaction layers
Leverage cloud and local AI tooling (Cursor, Claude, Ollama, LMStudio, OpenCode) to accelerate development and deployment
Build deep integrations between AI agents and Home Assistant (or equivalent frameworks) to enable physical-world actions
Lead the design, development and orchestration of a next-generation agentic smart home platform, bridging physical hardware, local data lakes and AI models.
Compensation
Competitive Tax-Free Salary: A market-leading monthly package in AED, commensurate with experience.
Responsibilities
Design, deploy and refine multi-agent systems using frameworks like OpenClaw and open-source models like Hermes
Integrate multi-modal vision frameworks to process security cameras and generate real-time situational awareness
Implement conversational voice interfaces using ElevenLabs APIs
Leverage AI-assisted coding tools like Cursor and Claude to accelerate engineering velocity
Build deep integrations and custom components for Home Assistant
Requirements
Nice to have: Zigbee
Nice to have: Z-Wave
Nice to have: ESPHome
Nice to have: custom PCB/microcontroller programming
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