At Acuity, we are building an Agentic AI Platform that enables multiple product teams to deliver AI powered capabilities consistently, safely, and at scale. We are looking for an experienced Platform Software Engineer to help own and evolve this platform over the long term.
This role is distinct from a product feature developer. You will work on the platform itself — its core services, frameworks, tooling, and developer experience — and act as a technical partner and internal consultant to teams onboarding or adopting the platform.
You will play a critical role in:
Shaping the architecture and evolution of the Agentic AI platform
Improving developer experience (DevX) for teams building on it
Evangelizing and enabling adoption across engineering, product, and data teams
Advancing our internal AI SDLC and Spec Driven Development practices
This is a high impact role for someone who enjoys building opinionated platforms, defining golden paths, and raising the engineering bar across an organization.
Key Tasks & Responsibilities (Essential Functions)
Design, build, and evolve core platform services, frameworks, and APIs that underpin Acuity’s Commerce AI capabilities.
Own the long-term technical direction of the platform, balancing immediate delivery with extensibility, reliability, and maintainability.
Define and maintain opinionated architectural patterns, reference implementations, and golden paths for teams building on the platform.
Manage the full AI lifecycle, from POC to production. This includes prompt engineering, context management, tool-calling optimization and CI/CD.
Ensure the platform is scalable, secure, observable, and cost efficient in production.
Developer Experience (DevX)
Improve the end-to-end developer experience for product teams using the platform, from local development through CI/CD and production.
Build and maintain tooling, templates, libraries, and automation to reduce cognitive load and time to value for adopters.
Streamline onboarding for new teams through documentation, examples, and paved paths.
Act as an internal technical consultant to teams adopting the Commerce AI platform.
Evangelize platform capabilities, patterns, and best practices across engineering and product organizations.
Partner with product, architecture, security, and data teams to ensure platform adoption aligns with organizational standards and goals.
Gather feedback from consuming teams and translate it into platform improvements.
AI & SDLC Practices
Build platform level support for Generative AI and Agentic AI, enabling safe and reusable integration patterns.
Evangelize and support internal AI SDLC tools and workflows, including specification first and automation driven development approaches.
Help drive consistency and maturity in how AI features are designed, built, tested, and operated across teams.
Architect and implement solutions using Python (FastAPI, Flask, OOP, typing, async programming, Pydantic).
Deploy and operate containerized, cloud native solutions.
Implement and maintain CI/CD pipelines (Azure DevOps Pipelines, GitHub Actions, Argo CD).
Apply event driven architecture and data modelling for scalable integrations.
Conduct code reviews, mentor engineers, and influence engineering standards across teams.
Ensure security best practices across AuthN/AuthZ, secrets management, and container security scanning.
Skills and Minimum Experience Required
Bachelor's degree in computer science, engineering, or related field.
Senior: 5+ years of professional software engineering experience.
Strong Python expertise (OOP, typing, async, Pydantic).
Proven experience building REST APIs using FastAPI or Flask.
Hands‑on experience with CI/CD, DevOps practices, and GitHub branching strategies.
Experience with cloud platforms (Azure preferred; AWS or GCP acceptable).
Working knowledge of Docker, Kubernetes, SQL/NoSQL, and microservices.
Strong testing discipline (PyTest, automated test strategies).
Excellent communication skills and the ability to influence across teams.
Strong understanding of Agile delivery frameworks.
Preferred Skills and Experience
Platform & Enablement
Prior experience building or maintaining internal platforms, frameworks, or shared developer tooling.
Experience acting as a technical enablement or evangelism lead in a multi‑team environment.
Familiarity with Spec Driven Development (SDD) approaches.
Exposure to tools and concepts such as:
OpenSpec, OpenCode, SpecKit, Claude Code or similar agent assisted development tools
AI & Cloud
Familiarity with Generative AI, Agentic AI, and LLM frameworks (LangChain, Hugging Face, OpenAI APIs).
Understanding of deep learning concepts (transformers, attention, neural networks).
Experience with Azure services (Cosmos DB, networking, serverless compute).
Knowledge of DevSecOps and secure code to cloud practices.
Exposure to IoT or large‑scale enterprise integrations.
#J-18808-Ljbffr