Job description
At Hypersonix, we are building the leading enterprise Generative AI Platform for Commerce. Our Flagship GenAI Product – Competitor + Pricing AI – scrapes the product catalogue for our enterprise customers and their competitors, and uses RAG to identify the nearest competitive match for each of our customer’s product, facilitating intelligent pricing strategies that were previously impossible to achieve.
We are seeing strong growth in our Competitor + Pricing AI product, and are looking to identify a hands-on GenAI architect who can facilitate further growth into agentic systems, to streamline workflows within our platform. For instance, using a chat-based interface to facilitate BI queries (read operation automation) and create rules for pricing strategies (write operation automation)
You will design the agentic workflow framework, shared services such as guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by our customers.
In this role:
· You will 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.
Basic Qualifications:
· 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
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
This is remote job
