Senior GenAI Solutions Architect | Python & Production RAG

Provectus

Kraków

On-site

PLN 180,000 - 280,000

Full time

14 days+

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Benefits offered by this job

Remote-first in Europe
Private medical insurance
Paid sick leave and holidays
Equipment provided

Job summary

Provectus is a consulting and professional services firm focused on AI/ML, embedding engineers within client teams to ship production systems. Our Forward Deployed delivery reflects hands-on collaboration from discovery through delivery, ensuring architectures mirror real work processes.

We value production experience with RAG systems, Python backends, and AWS/GCP, plus strong client-facing communication. Remote-first within Europe and ongoing training opportunities are available.

Qualifications

  • 7+ years building and running production systems with hands-on experience.

Responsibilities

  • Embed with the client team for the length of the engagement, inside their environment.
  • Write clean production-grade Python across AI integrations, backend services, and RESTful APIs
  • Design, build, and optimize RAG systems and agentic AI solutions in production
  • Own system design and architectural decisions across engagement
  • Act as client’s technical contact: present architecture, defend trade-offs
  • Support presales activities including discovery calls and demos
  • Lead architecture reviews and contribute to Python standards
  • Feed learnings back into Provectus' blueprint library
  • Mentor engineers and lead code reviews

Skills

Python
LLM workflows
AWS
GCP
Docker
Kubernetes
English comms

Tools

Flask
Django REST
FastAPI
SageMaker
Bedrock
Lambda
S3
ECS
ECR
SQS
OpenAI API
Anthropic Claude

Job description

Provectus is a consulting and professional services firm focused on AI/ML, embedding engineers within client teams to ship production systems. Our Forward Deployed delivery reflects hands-on collaboration from discovery through delivery, ensuring architectures mirror real work processes.

We value production experience with RAG systems, Python backends, and AWS/GCP, plus strong client-facing communication. Remote-first within Europe and ongoing training opportunities are available.

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