Multimodal AI Full-Stack Engineer – Ship Impact

Employia G&A Consulting GmbH; California; On-site; USD 165,000 - 250,000; Full time

Benefits offered by this job

Equity

Job summary

Employia G&A Consulting GmbH is hiring a Full Stack Engineer to own products end-to-end, from specification to production. You will build backend systems and APIs, develop user-facing interfaces, integrate AI capabilities, and work directly with customers to deploy improvements.

We value 1+ years shipping production-grade code, strong Python/API/database skills, React frontend experience, and a CS or STEM degree. Experience with AI/ML in production (LLMs, RAG, function calling) is a plus.

Qualifications

• 1+ years of professional software engineering experience shipping production-grade code.
• Strong backend engineering experience, particularly with Python, APIs, and databases.
• Experience at a VC-backed startup, founding team, or established technology company with a high engineering bar.
• CS or technical STEM degree from a top program.
• Experience with AI/ML in production, LLMs, RAG, function calling, or multimodal AI is a plus.
• Frontend experience with React and cloud/infrastructure experience are valued.
• Comfortable working in an intense, fast-paced environment with high ownership.

Responsibilities

• Own end-to-end features from specification to production.
• Build backend systems and APIs, develop customer-facing interfaces, integrate AI capabilities, and work directly with customers to deploy and improve solutions.

Skills

Python

APIs

Databases

React

Cloud infrastructure

AI/ML in production

LLMs

RAG

Function calling

Backend engineering

Production code

Education

CS or STEM degree

Job description

Employia G&A Consulting GmbH is hiring a Full Stack Engineer to own products end-to-end, from specification to production. You will build backend systems and APIs, develop user-facing interfaces, integrate AI capabilities, and work directly with customers to deploy improvements.

We value 1+ years shipping production-grade code, strong Python/API/database skills, React frontend experience, and a CS or STEM degree. Experience with AI/ML in production (LLMs, RAG, function calling) is a plus.