Full Stack AI Engineer

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Full Stack AI Engineer at Otonomee building AI-powered applications and platforms. Collaborating with teams to establish enterprise AI capabilities using Azure.

Posted 7/24/2026full-timeRemote • 🇷🇴 RomaniaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building AI-powered applications on Azure, with a strong focus on full-stack development, cloud architecture, and integration of security and compliance frameworks. Capable of turning complex business problems into effective AI solutions while ensuring system reliability and performance.

Highest-signal resume keywords

Full-Stack Application DevelopmentAI/NLP Tools (Azure OpenAI, OpenAI, Anthropic)Backend Development (Python, C#/.NET, Node.js)Frontend Development (React, Next.js)Cloud Architecture (Azure)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Full-Stack DevelopmentAI/NLP DevelopmentBackend Development (Python, C#/.NET, Node.js)Frontend Development (React, Next.js)CI/CD ImplementationInfrastructure as Code (IaC)API DevelopmentEvent-Driven SystemsData Protection and Access ControlProduction System Monitoring

Soft Skills

Problem-SolvingClear CommunicationProactive AttitudeSelf-SufficiencyProduct Thinking

Tools & Technologies

AzureZendeskGenesysIntercomMicrosoft 365

Industry Keywords

GDPRISO 27001SOC 2Security and Compliance FrameworksAI-Native Development Tools

Tech Stack

Tools & technologies

AzureCloudJavaScript.NETNext.jsNode.jsPythonReact

About the role

Key responsibilities & impact

Design, build, and ship AI-powered applications end-to-end — spanning backend, data, APIs, and lightweight UI
Establish the foundation of the Enterprise AI Platform on Azure
Turn ambiguous business problems across multiple teams into working solutions using AI-native development tools
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
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
Embed GDPR, ISO 27001, SOC 2 (and others) into the platform
Partner with Security/GRC on data protection and access control
Partner with Product on roadmap and build-vs-buy decisions
Document systems, architecture, and processes
Monitor production systems and improve performance, cost, and reliability

Requirements

What you’ll need

Proven experience shipping full-stack applications end-to-end
Hands-on with AI/LLMs (e.g. Azure OpenAI, OpenAI, Anthropic)
Experience with RAG, vector databases, and agent-based systems
Confident using AI-native dev tools to accelerate delivery
Strong backend skills (Python, C#/.NET, or Node.js)
Working frontend capability (React, Next.js, or similar)
Experience with Azure and cloud architecture
Familiar with IaC and CI/CD pipelines
Experience integrating SaaS platforms via APIs/events
Understanding of production systems and reliability
Working knowledge of security and compliance frameworks
Comfortable as a founding engineer in an early-stage environment
Strong product thinking and problem-solving ability
Clear communicator across technical and non-technical audiences
Self-sufficient, proactive, and effective in remote teams

Benefits

Comp & perks

Equipment provided
Home office allowance
Online Gym and Wellbeing Studio
The opportunity for professional growth
Fun company events and team outings
Autonomy and Responsibility