Lead AI Engineer

Summary

Join Hypersonix, a leading enterprise Generative AI Platform for Commerce, and contribute to the growth of our flagship Competitor + Pricing AI product. As a hands-on GenAI architect, you will design the agentic workflow framework, shared services, and SDKs to translate foundation model power into production-grade applications. You will contribute to the platform architecture, standardize and automate agentic workflows, and craft an end-to-end GenAI SDK. Collaborate with cross-organization architects to optimize performance and coach other engineers. This role requires experience with agentic toolchains, retrieval-augmented generation (RAG), and reasoning-based task orchestration. The position is remote.

Requirements

• Bachelor's degree in Computer Science, Engineering, or AI plus at least 5 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 3 years of experience developing AI and ML algorithms or technologies
• At least 5 years of experience programming with Python

Responsibilities

• Contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement
• A major emphasis is around standardizing and automating agentic workflows: you will evaluate agentic frameworks such as LangGraph, Semantic Kernal, Google Gen AI SDK and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs
• Developer experience is another cornerstone. You will contribute to crafting an end-to-end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%
• Experience with agentic toolchains and autonomous workflows, including tools such as Text-to-SQL agents, code execution agents, retrieval-augmented generation (RAG), and reasoning-based task orchestration
• You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend
• Finally you will coach and evangelize - hosting architecture office hours, mentoring other engineers, authoring technical design documents and blogs and representing Hypersonix - to amplify platform vision across internal and external communities

Preferred Qualifications

• 3+ years of experience deploying scalable AI solutions on cloud platforms (e.g. Databricks, AWS, Google Cloud, Azure, or similar)
• 2+ years of experience supporting Agentic Frameworks (LangChain, LlamaIndex, Semantic Kernel (Microsoft), Google AI SDK, or similar)
• 2+ years of experience with MLOps (Databricks, Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning, or similar), and CI / CD
• 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
• Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders. Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

Benefits

This is remote job