GenAI Tech Lead & Python Solutions Architect (Remote)

Provectus; Kraków; On-site; PLN 240,000 - 420,000; Full time

Benefits offered by this job

Remote with flexible hours

Private medical insurance

Career growth and certifications

Job summary

Provectus is looking for a Technical Lead to drive GenAI-powered solutions, including AI agents, RAG systems, and Python services. You will own solution architecture, mentor engineers, and guide projects from discovery to production.

You will engage with clients, lead discovery, and craft scoped delivery plans with risks and dependencies. The role requires 7+ years building production systems, deep AI/ML understanding, and hands-on AWS and cloud experience.

Qualifications

• 7+ years building and running production systems, not just demos.
• Strong understanding of AI/ML concepts and integration into solutions.
• Experience integrating AI/ML components into production-grade architectures.
• Experience with cost estimation and cloud-architecture cost optimization.
• Hands-on AWS experience (SageMaker, Bedrock, Lambda, S3, etc.).

Responsibilities

• Write clean, production-grade Python across AI integrations and services.
• Design and build LLM-based and agentic AI solutions addressing client challenges.
• Own the technical direction of client engagements from discovery through delivery.
• Support presales: discovery calls, technical proposals, and scoping.
• Lead architecture reviews and contribute to Python practice standards.
• Mentor engineers, perform code reviews, and share knowledge.
• Build strong relationships with client stakeholders as a trusted advisor.

Skills

Full-stack mindset

B2+ English

Client engagement

Presales guidance

Solution architecture

Mentoring

Tools

Docker

Kubernetes

FastAPI

Django REST

AWS Cloud

React/Vue

LLM APIs

Job description

Provectus is looking for a Technical Lead to drive GenAI-powered solutions, including AI agents, RAG systems, and Python services. You will own solution architecture, mentor engineers, and guide projects from discovery to production.

You will engage with clients, lead discovery, and craft scoped delivery plans with risks and dependencies. The role requires 7+ years building production systems, deep AI/ML understanding, and hands-on AWS and cloud experience.