AI Application Engineer

Job not on LinkedIn

April 10

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Logo of DeutNet Solutions

DeutNet Solutions

B2B • Recruitment

DeutNet Solutions is a staffing and engineering services company that provides pre-vetted remote software engineers to startups and businesses, specializing in fast staff augmentation, project outsourcing, and Employer of Record (EOR) services. It focuses on integrating remote full-stack, QA, DevOps, and other engineering talent into client teams quickly, with particular expertise supporting the German startup ecosystem and enabling cost-effective, compliant cross-border hiring. The company emphasizes rapid onboarding, flexible scaling, and end-to-end delivery for technology projects.

1 - 10 employees

Founded 2014

🤝 B2B

🎯 Recruiter

đź“‹ Description

• Building, integrating, and deploying AI-powered tools and applications within modern B2B SaaS environments. • Work across the full stack, from backend logic to frontend interfaces, using Azure AI Foundry as the core platform for development and integration. • Focus on practical implementation and integration rather than deep research or model development.

🎯 Requirements

• 4 to 7 years of experience as a full-stack or AI-focused software engineer. • Strong understanding of Azure AI Foundry for deploying and managing AI applications. • Solid knowledge of Python for backend development and API integration. • Experience with Next.js or React.js for building user interfaces and dashboards. • Familiarity with databases, connectors, and SaaS application architecture. • Ability to work independently within sprint-based or agile development environments. • Good problem-solving and analytical skills. • Clear communication and documentation skills.

🏖️ Benefits

• Work from anywhere in India. • Opportunity to work on cutting-edge AI integration projects. • Flexible remote work setup aligned with European time zones. • Collaboration with experienced engineers and technical leads from Europe. • Exposure to enterprise-grade SaaS systems and AI deployment workflows. • Skill development in modern AI tooling and automation platforms.

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