Offer summary

Qualifications:

2–5 years of experience in AI Engineering., Proficiency in Python, including Pandas and API development., Hands-on experience with LLMs, machine learning models, and AI automation tools., Familiarity with foundation models, multimodal AI, and AI governance trends..

Key responsibilities:

Design and deploy AI-powered workflows using RAG, AI agents, and LLM integrations.

Scope and build AI use cases with multiple stakeholders.

Write full-stack implementations with AI integrations.

Iterate quickly to keep up with AI space changes.

SupportYourApp is a Support-as-a-Service company that has been providing secure technical, customer support and CX services to growing companies around the globe since 2010. Reasons to count on us: • More than 14+ years of experience • Over 1200 professionals on a team from all over the world • Over 60 operational languages • PCI/DSS L1 Service Provider • ISO/IEC 27001 certification • GDPR-, CCPA-, and HIPAA-compliance • Refined processes of onboarding, learning, and human development • Customer-focused consultants with exceptional language skills Our services include, but are not limited to: • Customer support (Front desk, Tier 1) • Technical support (Tier 1-3) • Social media customer service • CX services • AI-powered support teams • Reception desk services • System setup and Integration • Back-office services (data entry, content moderation & enrichment) • Data annotation • Staff augmentation (web & software developers, UX/UI designers, QA) Every company is different and requires a unique experience. That’s why we have an individual approach and offer a tailored solution to every client. We are all diverse, but we have one goal — to support people. We support. You grow.

Job description

AI is evolving fast — and so are we. Join us as a Middle AI Engineer to explore what’s possible, turn ideas into prototypes, and help define how modern AI gets used in the real world.

Together we will:

Design and deploy AI-powered workflows using RAG, AI agents, and LLM integrations;
Scope and build AI use cases with multiple stakeholders;
Write full-stack implementations with AI integrations;
Iterate quickly to keep up with the pace of changes in AI space;
Stay on top of trends in foundation models, multimodal AI, and AI governance.

Requirements

What you’ll need:

2–5 years of experience in AI Engineering;
Proficiency in Python, including Pandas and API development;
Hands-on experience with LLMs, machine learning models, and AI automation tools;
Proven ability to build full-stack applications with integrated AI workflows;
Familiarity with foundation models, multimodal AI, and AI governance trends;
Self-motivated with a strong ability to work independently;
Outcome-driven mindset with a focus on delivering impact.