AI Deployment Engineer - Hybrid, Equity

Jobtraffic; Vitoria; Hybrid; EUR 90,000 - 110,000; Full time

Benefits offered by this job

Equity

Performance bonus

Job summary

Jobtraffic is seeking a Forward Deployed Engineer to design, implement, and deploy AI-driven workflows for enterprise clients. The role focuses on building production-grade Python backends and integrating AI systems directly into client environments.

You will own the architecture from design to production, deploying scalable microservices and containers, and collaborating with product and client teams to deliver impactful AI-powered solutions.

Qualifications

• Strong backend engineering fundamentals (Python preferred).
• Experience building and operating production systems.
• Comfort with APIs, data modeling, and microservices.
• Experience integrating third-party systems or working client-facing.
• Cloud experience (AWS, GCP, or similar).
• Product mindset and high ownership mentality.

Responsibilities

• Design backend architectures in Python (FastAPI-heavy stack).
• Integrate AI systems (LLMs, RAG pipelines, structured outputs).
• Build APIs and microservices for client-specific workflows.
• Deploy scalable, containerized services (Docker, Kubernetes).
• Debug production issues and improve system reliability.
• Translate business requirements into clean technical solutions.

Skills

Python

Backend engineering

Production systems

APIs

Data modeling

Microservices

Cloud: AWS/GCP

Ownership mindset

Tools

Kubernetes

Docker

Job description

Jobtraffic is seeking a Forward Deployed Engineer to design, implement, and deploy AI-driven workflows for enterprise clients. The role focuses on building production-grade Python backends and integrating AI systems directly into client environments.

You will own the architecture from design to production, deploying scalable microservices and containers, and collaborating with product and client teams to deliver impactful AI-powered solutions.