AI Engineer

Responsibilities

• Design and build high-performing, secure, and scalable AI-enabled applications.
• Partner with AI engineers and product teams to turn proof-of-concepts into MVPs and production-ready solutions.
• Develop application architecture, project scaffolding, core services, APIs, and data integrations.
• Implement software engineering best practices, including design patterns, code reviews, testing, and release processes.
• Support CI/CD pipelines, environment management, and deployment readiness across development and production stages.
• Integrate AI solutions with enterprise systems while meeting security, compliance, and operational standards.
• Help select the most effective technical patterns for AI applications in collaboration with technical partners.
• Contribute to observability, evaluation, and operational support for AI-powered applications.

Requirements

• Strong software engineering background with hands-on experience delivering production-grade applications.
• PRACTICAL EXPOSURE TO AI SOLUTION PATTERNS SUCH AS RAG, AGENTIC WORKFLOWS, AND API-BASED MODEL INTEGRATION.
• SOLID AZURE EXPERIENCE, INCLUDING INFRASTRUCTURE, PLATFORM SERVICES, IDENTITY, SECURITY, AND NETWORKING.
• EXPERIENCE WITH CI/CD, BRANCHING STRATEGIES, PULL REQUESTS, AND MODERN DEVELOPMENT WORKFLOWS.
• ABILITY TO WORK IN ENTERPRISE ENVIRONMENTS WITH SECURITY, COMPLIANCE, AND DEPLOYMENT REQUIREMENTS.
• WORKING KNOWLEDGE OF TOOLS AND TECHNOLOGIES SUCH AS NEO4J, COSMOS DB, POSTGRESQL, MONGODB, KAFKA, CONTAINERS, KUBERNETES, AND FASTAPI.
• COMFORT USING GITHUB WORKFLOWS AND AI PRODUCTIVITY TOOLS SUCH AS GITHUB COPILOT AND CLAUDE CODE IN A DISCIPLINED WAY.
• STRONG COLLABORATION SKILLS AND THE ABILITY TO WORK EFFECTIVELY ACROSS ENGINEERING, PLATFORM, AND PRODUCT TEAMS.

Skills

• Practical exposure to AI solution patterns such as RAG, agentic workflows, and API-based model integration.
• Solid Azure experience, including infrastructure, platform services, identity, security, and networking.
• Experience with CI/CD, branching strategies, pull requests, and modern development workflows.
• Ability to work in enterprise environments with security, compliance, and deployment requirements.
• Working knowledge of tools and technologies such as Neo4j, Cosmos DB, PostgreSQL, MongoDB, Kafka, containers, Kubernetes, and FastAPI.
• Comfort using GitHub workflows and AI productivity tools such as GitHub Copilot and Claude Code in a disciplined way.
• Strong collaboration skills and the ability to work effectively across engineering, platform, and product teams.

Preferred Skills

• Experience supporting AI engineering teams by introducing scalable engineering practices.
• FAMILIARITY WITH ENTERPRISE DATA PLATFORM CHOICES, INCLUDING RELATIONAL, NO-SQL, GRAPH, VECTOR, AND EVENT-DRIVEN APPROACHES.
• Experience delivering across multiple projects in a large enterprise setting.
• Exposure to secure integration patterns for internal enterprise systems.
• Background working with open-source and cloud-native technologies in production environments.

Benefits

Horizontal is committed to fostering a diverse, equitable, and inclusive workplace where people of all backgrounds are valued and supported.

Pay

Competitive compensation package based on experience and qualifications.

Schedule

Full-time position.

Company

Horizontal Talent is a leading provider of talent acquisition solutions, dedicated to helping companies find the right fit for their needs.