Founding AI Engineer

Role focuses on: Context Engineering, Memory and System

What You’ll Do

As a Founding AI Engineer, you will own the entire intelligence layer of this vision from scratch. You will drive the end-to-end implementation of a highly personalized AI assistant across multimodal signals, context engineering, memory, and actions, while shaping an AI architecture that fiercely protects user privacy and data boundaries.

• Multimodal Context Understanding: Build AI systems that understand real-world user context from multimodal inputs
• Memory & Personalization Infrastructure: Design context and memory systems that support deep user insights and personalization over time.
• Retrieval & Reasoning: Develop systems that reason over the right context at the right moment to help the product assist users timely and usefully.
• Productization of AI Pipeline: Build and own the pipelines, model workflows, APIs, storage, evaluation, monitoring, and privacy-first data handling behind all of it.
• Cross-function Collaboration: Work closely with product, design, and engineering to turn ambiguous human needs into robust AI capabilities.

What We’re Looking For

• Bachelor’s degree or above in CS or a related field
• At least 3 years of full-time work experience in related field
• At least 2 year of Gen AI experience building and shipping applied generative AI systems end to end
• Hands-on experience building and shipping AI systems with LLMs, VLMs, or multimodal models, including the ability to run, adapt, and evaluate open-source models such as DeepSeek, Qwen, Llama, or similar.
• Deep understanding of context engineering — RAG, memory systems, embeddings, retrieval/ranking, MCP servers, agent frameworks, or other ways of making models reason over context they did not see in pretraining.
• Strong Python and backend/systems engineering ability. You can stand up pipelines yourself and take ambiguous ideas all the way to working systems.
• Action-driven: when you hear a vague idea, your hands start moving.
• Absolute ownership in a fast-paced and high-intensity start-up environment
• Clarity of thought, excellent communication

Bonus

• Experience with Docker, Kubernetes, or major cloud platforms such as AWS, GCP, or Azure.
• Early-stage start up experience

Compensation and benefits

• Competitive base salary
• Meaningful early-stage equity
• Comprehensive health, dental, and vision coverage
• Immigration support: H1-B and green card sponsorship available for qualified candidates

Pay: $150,000.00 - $250,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Flexible schedule
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Referral program
• Relocation assistance
• Retirement plan
• Vision insurance

Work Location: In person