Junior AI/ML Engineer: RAG Systems & Cloud Basics

Provectus; Poland; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Remote-friendly culture

Internal training programs with Claude

Private medical insurance

Equipment and tech stipend

Job summary

Provectus is seeking a Senior AI/ML Engineer to join a senior pod working with an FDE, an FDX, and other senior AI engineers. You will contribute to real delivery work, build RAG system components, write tests, and deploy AI features across backend services and data pipelines.

You will work with Python/TypeScript, AWS, and Claude ecosystem tooling, while growing toward independent ownership and architecture decisions in a globally distributed team.

Qualifications

• Hands-on experience building or contributing to RAG systems, ideally in a production or near-production setting.

Responsibilities

• Build and contribute to RAG system components under senior guidance, with growing autonomy.
• Write tests and help build out evaluation harnesses for the features you work on.
• Write production code across the stack (AI, backend services, data pipelines) with code review support.
• Help integrate AI components into backend services and RESTful APIs.
• Support deployment of systems to AWS (containerized, CI/CD), taking on more of this independently over time.
• Contribute to documentation, runbooks, and client handover materials.
• Participate in technical discussions and architectural decisions, with an eye toward taking on more of this independently.
• Support model evaluation efforts and help investigate and improve failure modes.
• Take on increasing ownership of components and technical decisions as you grow in the role.

Skills

RAG systems

Python

TypeScript

AWS experience

CI/CD

LLM APIs

Problem solving

English communication

Production systems

AI/ML foundations

Tools

Python tooling

Cloud services

Claude ecosystem

Docker/Kubernetes

Job description

Provectus is seeking a Senior AI/ML Engineer to join a senior pod working with an FDE, an FDX, and other senior AI engineers. You will contribute to real delivery work, build RAG system components, write tests, and deploy AI features across backend services and data pipelines.

You will work with Python/TypeScript, AWS, and Claude ecosystem tooling, while growing toward independent ownership and architecture decisions in a globally distributed team.