Hands-on with AI/LLMs (e.g. Azure OpenAI, OpenAI, Anthropic)
Strong backend skills (Python, C#/.NET, or Node.js)
Working frontend capability (React, Next.js, or similar)
Requirements:
Build and ship end-to-end AI applications (backend, data, APIs, UI)
Turn ambiguous problems into working software quickly
Build and scale the AI Platform on Azure (multi-region)
Integrate with internal and third-party systems (CRM, CX platforms)
Job description
About The Role
This is the first software engineering hire at Otonomee and a key role in building the company’s AI capability and platform. You will report to the CTO, with a dotted line to the Product Builder.
You will design, build, and ship AI-powered applications end-to-end — spanning backend, data, APIs, and lightweight UI — while establishing the foundation of the Enterprise AI Platform on Azure.
In the early phase, this role is highly hands-on. You will turn ambiguous business problems across multiple teams into working solutions using AI-native development tools. As the team grows, the role will evolve toward platform architecture, integrations, and technical leadership.
Why This Role
This is an early and high-impact founding engineering role in a company building its AI platform from the ground up. You will take ownership of how AI applications are designed, built, deployed, and scaled across a real CX client environment.
You will work hands-on across the full stack — from backend and data to APIs and lightweight UI — shipping production-ready AI solutions end-to-end. With direct exposure to leadership, you will play a key role in shaping the technical foundation of the business while owning delivery from concept to production in a fast-moving, AI-native environment.
Your profile
What You`ll Be Doing
AI Application Development
Build and ship end-to-end AI applications (backend, data, APIs, UI)
Turn ambiguous problems into working software quickly
Use AI-native tools to accelerate delivery
Apply key AI patterns (RAG, agents, prompt engineering, evaluation)
Platform & Infrastructure
Build and scale the AI Platform on Azure (multi-region)
Own core components: APIM, identity, networking, observability, data
Establish CI/CD,IaC, testing, and deployment standards
Integrations
Integrate with internal and third-party systems (CRM, CX platforms)
Work with tools like Zendesk, Genesys, Intercom, Microsoft 365
Build APIs, webhooks, and event-driven systems
Security & Compliance
Embed GDPR, ISO 27001, SOC 2 (and others) into the platform
Partner with Security/GRC on data protection and accesscontrol
Collaboration & Operations
Partner with Product on roadmap and build-vs-buy decisions
Document systems, architecture, and processes
Monitor production systems and improve performance, cost, and reliability